Alternatives to BIOVIA Discovery Studio

SYNTHIA™ Retrosynthesis software, developed by computer scientists and coded by chemists, allows scientists to quickly and easily navigate novel and innovative pathways for novel and previously published target molecules. You can quickly and efficiently scan hundreds pathways to identify the best options for your needs. Discover the most cost-effective route to your target molecule with the latest visualization and filtering features. You can easily customize the search parameters to eliminate or highlight reactions, reagents, or classes of molecules. Explore innovative and unique syntheses to build your desired molecule. Easy to generate a list for starting materials that are commercially available for your synthesis. ISO/IEC 27001 Information Security Certification will guarantee the confidentiality, integrity and protection of your data.

All-in-One LIMS, ELN, QMS, and DMS Platform Xybion LIMS is an all-inclusive Digital Laboratory system including LIMS, ELN, QMS, and DMS that creates optimized workflows for the unique business needs of all regulated laboratories including research, diagnostics, quality control, stability studies, and more. Xybion LIMS instills consistency, improves data quality, and supports regulatory compliance with a complete laboratory management solution that connects with your operating systems with powerful laboratory information management and analytics.

Genedata Biologics®, streamlines the discovery of biotherapeutics. This includes bispecifics and ADCs as well as TCRs, CARs-Ts, CARs-Ts, CARs, and AAVs. It integrates all discovery workflows, making it the most popular platform in the industry. This allows you to focus on innovation and is the most widely used. A first-in-class platform that digitalizes biotherapeutic discovery accelerates research. The platform simplifies complex R&D processes by allowing for the creation, tracking, testing, and evaluation of novel biotherapeutics drugs. It can work with any format: antibodies, bi- and multi-specifics as well as ADCs, novel scaffolds, therapeutic proteins, and engineered therapeutic cell line such CAR-T cells and TCRs. Genedata Biologics acts as a central data backbone that integrates all R&D processes. This includes library design, immunizations, selections, panning, molecular Biology, screening, protein engineering and expression, as well as candidate development and manufacturability assessment.

Labguru, a cloud-based Electronic Lab Notebook, LIMS and Informatics Platform that offers a complete solution to life science research and industry, is secure and reliable. It records and manages laboratory data, inventory, molecular biology tools, and chemistry tools. This allows labs to run more efficiently and automates lab operations. Labguru allows scientists to design experiments and workflows. They can also capture structured and unstructured information, manage projects, and share their results. You can create custom-designed experiment templates and integrate protocols, SOPs and other cutting-edge features to improve data quality, streamline workflows, and reduce costs. Labguru is available via the cloud on desktops as well as mobile devices. Labguru is part Holtzbrinck Publishing Group. It serves more than 100,000 scientists from universities, research institutes, startups, and large pharma companies around the world.

A platform that connects scientific reasoning, compound design, computational resources, and other relevant information. The Design Hub by Chemaxon for medicinal chemistry, from analysis to prioritization. One platform to design compounds and manage ideas. One platform that links scientific rationale, compound design, computational resources, and other information. You can switch from PowerPoint files to graphical or chemically searchable hypotheses, which are integral parts of compound design. You can easily work in a rich visual environment with your trusted physchem properties, computational models or novelty issues. This secure online service allows you to involve your CROs in compound progression. Analyze the evidence from biological assays and experimental structural information to extract SAR and create new hypotheses for each optimization iteration. Your scientific hypotheses can be stored in a "designer’s ELN" (chemically-aware drawing canvases).

Advanced molecular modeling can transform drug discovery and materials research. Our physics-based computational platform combines differentiated solutions for predictive modelling, data analytics, collaboration, and collaboration to allow rapid exploration of chemical space. Our platform is used by industry leaders around the world for drug discovery and materials science in fields such as aerospace, energy, semiconductors and electronics displays. The platform powers our drug discovery efforts, from target identification through hit discovery to lead optimization. It also powers our research collaborations to create novel medicines for critical public healthcare needs. Our team includes more than 150 Ph.D. scientists. This allows us to invest heavily in R&D.

ChemDraw®, solutions have been able to provide powerful capabilities and integrations that allow you to quickly transform ideas and drawings into publications you are proud of. ChemOffice+ Cloud is a chemistry communication suite that transforms chemical drawings into chemical knowledge. It facilitates the management, reporting, and presentation of your Chemistry research. ChemOffice+ Cloud is a robust and comprehensive suite that was designed to simplify, facilitate, accelerate, and accelerate chemistry communication. The cloud-native ChemDraw Professional chemistry communication suite adds a powerful set to scientific research by adding a powerful set to the foundations. ChemOffice+ Cloud makes it much easier to create reports to communicate chemical research. Chemists can use ChemOffice+ cloud to create PowerPoint slides and manuscripts that are ready for presentation.

Ascalaph Designer is a general purpose program for molecular dynamics simulations. All the molecular dynamics methods can be implemented in a single graphical environment. Molecular geometry optimization using conjugate gradient methods. Displays molecular models in separate window. Two cameras are installed in each window. This allows the model to be viewed simultaneously from both sides and in different graphic modes. Drag the splitter located in the right corner to open the subwindow. Clicking on an atom/bond with the left mouse button changes their color. A brief description of the object is displayed in the status bar. Large molecules, especially proteins, can be drawn in wireframes. This style allows for fast drawing. CPK wire frame combines all the above properties.

Dotmatics is the global leader in R&D scientific software that connects science, data, and decision-making. More than 2 million scientists and 10,000 customers trust Dotmatics to accelerate research and help make the world a healthier, cleaner, and safer place to live.

ArgusLab is a program that allows you to molecular model, graphically, and design drugs for Windows operating systems. Although it is becoming a little outdated, it remains very popular. There have been more than 20,000 downloads to date. ArgusLab can be downloaded for free. You don't have to sign anything. If you're teaching a class in which ArgusLab might be useful, you can print as many copies as necessary. You cannot redistribute ArgusLab to other websites or sources. You may link to this website on your own websites, however. ArgusLab is being port to the iPad in a low-key effort. I have also worked with Qt cross-platform development environment to support Mac, Linux, and PC.

VeraChem LLC was established in 2000 to advance computer-aided drug discovery. These methods are implemented in high-performance software and provide comprehensive support to users. This is a key strategy of VeraChem LLC for product development. Current VeraChem software capabilities include host-guest and protein-ligand binding affinity prediction, fast calculation and computation of partial atomic charges for druglike compounds, computation and force of energies and forces using all the most commonly used empirical force field, automatic generation and generation of alternate resonance forms for drug-like substances, conformational search using the powerful Tork algorithm and automatic detection and removal of topological and 3D-molecular symmetries. VeraChem's software packages were built from a modular code base.

Our web-based chemistry editor makes it easy to create and publish chemical structures. Marvin Pro is a drawing program that combines our chemically intelligent technology and a simple user interface. Researchers, students, and chemists can quickly convert their thoughts into high quality visual representations. Marvin Pro can handle a large number objects, chemical structures, arrows or texts on a single canvas and align them with precision. Chemical editors don't have to be difficult. Our intuitive solution will allow you to transform your chemical structure ideas into clear visuals. Your research should be reflected in the quality of your chemical drawings. Marvin Pro lets you create high-quality visuals you can present to your workplace. Marvin Pro can be your extension. You can add pre-defined labels or templates, color your structures, and insert photos from external sources. The structure's formula can be displayed.

BIOVIA solutions provide a unique scientific management environment that enables science-based organizations to create and connect biological and chemical innovations that will improve our lives. The BIOVIA portfolio, which is a leader in the industry, focuses on integrating science, experimental processes, and information requirements from all aspects of research, development, quality control, and manufacturing. Capabilities in the areas of Scientific Informatics and Molecular Modeling/Simulation Data Science, Laboratory Informatics Formulation Design, BioPharma Quality & Compliance, Manufacturing Analytics, and Laboratory Informatics. BIOVIA is committed in accelerating innovation, improving productivity, quality and compliance, reducing cost, and accelerating product development for customers across multiple industries. Connect scientific innovation processes and information throughout the product lifecycle.

Use AI to accelerate the journey from bench-research and laboratory insights to life-changing therapies. Reduce your reading time to minutes and gain up to 90% more research productivity. With a high-precision and high-accuracy research, you can cut through the noise to navigate the ever-growing amount of scientific literature. Save time, reduce bias, and increase the odds of discovering novel things. Explore disease biology in depth and discover advanced targets. Causaly’s high-precision graph of knowledge consolidates evidence from millions publications, allowing for unbiased, deep scientific exploration. You can navigate cause-and effect relationships in biology without being an expert. Discover hidden connections by viewing all scientific documents. Causaly’s powerful AI machine is able to read millions of published biomedical publications in order to support better research and decision-making.

BioNeMo, an AI-powered cloud service for drug discovery and framework, is built on NVIDIA NeMo Megatron. It is used to train and deploy large biomolecular Transformer AI models at supercomputing scale. The service provides pre-trained large language models (LLMs), native support for common file types for proteins, DNA, and chemistry, as well as data loaders for SMILES molecular structures and FASTA amino acid and nucleotide sequencings. You can also download the BioNeMo framework to run on your own infrastructure. ESM-1, which is based on Meta AI’s state-of the-art ESM-1b and ProtT5 respectively, are transformer-based protein-language models that can be used for learning embeddings for tasks such as property prediction and protein structure. BioNeMo will offer OpenFold, a deep-learning model for 3D structure prediction and novel protein sequences.

The process of bringing a new drug to market, from the initial step to the final market introduction can be time-consuming, expensive, and highly regulated. It can take up to a decade. Final success depends on early access to accurate analytical results that are fast enough to make the right decisions during development and minimize late attrition. Today's drug development relies heavily on a rational approach. Typically, identifying the biological target is the first step. To identify the most promising candidates, it is necessary to have a deep understanding about their properties. Finding the most promising lead molecules can be a daunting task once a biological target is established. Lead discovery is typically the identification of potential drug candidates, either small organic molecules or biologic assembly with therapeutic potential.

Avogadro, an advanced molecule editor/visualizer, is designed for cross-platform usage in computational chemistry and molecular modeling. It provides high-quality rendering and a powerful plugin structure. Avogadro, a free and open-source molecular editor/visualization tool, is available for Mac, Windows, and Linux. It can be used in computational chemistry and molecular modeling as well as materials science and other related areas. It provides flexible, high-quality rendering and a powerful plugin structure.

A series of carefully planned experiments can help you discover biological biomarkers, uncover disease mechanisms, find new drugs, or identify protein levels changes. It's easy to unlock the power of MS/Proteomics. This allows you to focus on the biological complexity and get closer to the moment for discovery. Our automated, repeatable workflow makes it easier to start experiments and reduce turnaround times. This gives you the flexibility and control to make decisions and act on them immediately. Our proteomics data processing workflow allows you to concentrate on biological insights and human to human collaboration. It is built to scale repeatedly. We have made repetitive and heavy processing easy to use the cloud, making it a seamless and enjoyable experience. Intelligent Proteomics seamlessly integrates complex moving parts to allow larger experiments to be processed, analyzed, and reported with ease.

YASARA, a molecular modeling, simulation, and modeling program for Windows, Linux and MacOS, was developed in 1993. It makes it easy to answer all your questions. YASARA offers a user-friendly interface, photorealistic graphics and support for affordable virtual realities headsets, shutter glasses and autostereoscopic displays. This allows you to concentrate on your goal and not the details of the program. YASARA is powered with PVL (Portable Vector Language), a brand new development framework that delivers superior performance to traditional software. PVL allows you visualize even the largest proteins. It also enables interactive real-time simulations using highly accurate force fields on standard computers, making use of GPUs when possible. Dynamic models allow you to push and pull molecules and can be used instead of static photos.

Scitara DLX™ provides a fast connectivity infrastructure for any instrument used in life science laboratories. It is fully compliant and auditable, and can be accessed from any cloud-based platform. Scitara™, a universal digital data network, connects all instruments, resources, apps, and software within the laboratory. The cloud-based platform, which is fully auditable, connects all data sources in the lab, allowing data to flow freely across multiple endpoints. Scientists can now spend their time on scientific research and not waste it trying to solve data problems. DLX corrects and curates flight data to support the creation of precise, structured data models that feed AI/ML systems. This supports a successful digital transformation strategy for the pharma and biopharma sectors. The ability to access scientific data allows for faster decision-making and drug discovery, which helps bring drugs to market quicker.

MoluCAD is a fully-featured molecular modelling and visualization tool for Windows. It is the product of a three-year National Institutes of Health research project in biomedical technology that aimed to produce low-cost educational software for students of chemistry. This latest version includes many advanced features that are only available in expensive workstation-based modeling programs. MoluCAD's trademarks are ease-of-use, high-quality graphics, and computational reliability. Users can quickly create models, view them from any perspective, create reaction animations and save all data to disk.

ChemOffice improves scientists' productivity and helps them do better research by allowing them to organize and explore chemical reactions and their properties. This allows them to turn data into actionable information and make more confident decisions. ChemDraw Excel adds chemical intelligence to Excel spreadsheets. Chemists can use Excel's sorting, organization and analysis tools to further manipulate and enrich sets and data as well as explore structure-activity relationships. Chem3D creates 3D models that allow chemists to view their compounds in three dimensions. This allows them to evaluate shape and properties to maximize specificity or activity. ChemFinder is a chemically-intelligent personal database system that scientists use to organize their compounds and to search for and correlate structures with properties.

We are a biotechnology company in clinical stage. We decode biology by integrating technological innovations across biology and chemistry to industrialize drug discovery. CRISPR genome editing and synthetic Biology allow for greater control over biology. Advanced robotics allows for reliable automation of complex laboratory research on an unprecedented scale. Neural network architectures allow for iterative analysis and inference from large, complex, in-house data sets. Cloud solutions increase the flexibility of high-performance computation. To build a next-generation biopharmaceutical business, we are using new technology to create virtuous learning cycles around datasets. A synchronized combination hardware, software, and data that is used to industrialize drug discovery. Redefining the traditional drug discovery process. One of the most extensive, broadest, and deepest pipelines in any technology-enabled drug company.

These intricate, complex machines are proteins. They are the building blocks of all biological processes, not only in your body, but in every living being. They are the building blocks of all life. There are currently around 100 million distinct proteins. Many more are discovered every year. Each protein has a unique 3D shape, which determines how it functions and what it does. It is expensive and time-consuming to determine the exact structure of each protein. This means that we only have a small number of proteins in our database. This gap is rapidly growing and we need to be able to predict the structure of millions unknown proteins. This could help us not only tackle disease but also help us find new medicines more quickly. It may also help us unlock the mysteries of life.

Aurora uses quantum mechanics, thermodynamics and an advanced continuous-water model for solvation effects in order to calculate ligand binding affinities. This approach is significantly different from the binding affinity predictions that are often based on scoring functions. Aurora algorithms are able to produce more precise and reliable binding free energies values by including the entropy as well as the aqueous electrostatic contribution directly into the calculations. The binding free energy is the measure of interaction between a ligand and a protein. The free energy (F), which is a thermodynamic quantity directly related to the experimentally measurable value for inhibition constant (IC50), and depends on the statistical properties of interacting molecules as well as electrostatic, quantum, and aqueous solver forces, is a thermodynamic quantity. Two major contributors to F's non-additivity are 1) the electrostatic and the solvation energy, and 2) the entropy.

StarDrop™, a comprehensive suite of integrated software, delivers the best in silico technology within a highly visual interface. StarDrop™, which allows seamless flow between the latest data, predictive modeling, and decision-making regarding the next round or synthesis, improves the speed, efficiency and productivity of the discovery process. A balance of different properties is essential for successful compounds. StarDrop™, which guides you through the multi-parameter optimization challenge, helps you target compounds with the highest chance of success. It also saves you time and resources by allowing you to synthesize fewer compounds and test them less often.

BIOiSIMTM, a revolutionary 'virtual drug engine', is the first-in-class tool that allows drug developers to narrow down the number drugs that have potential value in treating or curing specific diseases or illnesses. We offer a variety of translational-based solutions that can be customized for your clinical and pre-clinical programs. All of these solutions are based on our BIOiSIMTM platform, which is a proven and validated platform for small molecules, large molecule, and viruses. Our models are built using data from thousands upon thousands of compounds across seven species, which gives them a robustness that is rare in the industry. The platform is focused on human outcomes and has at its core a translatability tool that transforms insights across species. The BIOiSIMTM platform is available before preclinical animal trials begin, which allows for earlier insights and saves on expensive outsourced experimentation.

Eidogen-Sertanty’s Target Informatics platform (TIP), is the first global structural informatics system. It enables researchers to examine the druggable genome from an structural perspective. TIP increases the rapidly expanding body experimental protein structure information and transforms structure based drug discovery from an inefficient, data-scarce discipline to a high-throughput science with rich data. TIP is a tool that bridges the knowledge gap between bioinformatics (bioinformatics) and cheminformatics. It provides drug discovery researchers with a knowledge bank of information that is both unique and highly complementary to existing bio- and cheminformatics platform information. TIP's seamless integration between structural data management technology and unique target-to-lead analysis capabilities enhances every stage of the discovery pipeline.

InSilicoTrials.com, a web-based platform that allows users to create and simulate computational models and simulations. There are many easy-to-use tools in silico. The platform is primarily for users in the medical device and pharmaceutical industries. In silico tools for medical devices allow computational testing in different biomedical areas such as radiology, orthopedics, and cardiovascular during product development, validation, and design. The platform offers access to in-silico tools for the pharmaceutical industry, which can be used at all stages of drug discovery and development. It also covers a variety of therapeutic areas. The only cloud-platform built on crowdscience makes it easy to access validated models and reduce your R&D expenses. There is a growing list of models that can be used on a pay-per-use basis.

Cortellis™, a suite of life science intelligence software solutions, reveals hidden insights in data. This allows you to make better informed decisions throughout the R&D process. We have taken out the tedious work of finding, integrating and analysing data so that you can concentrate on the crucial decisions required to bring your products to market quicker. Cortellis provides unique data analysis that is rich in domain knowledge, industry insight, and therapeutic expertise. This allows you to unlock hidden insights that will allow you to make data-driven decisions that drive innovation. With the most comprehensive and deepest intelligence, you can get precise and actionable answers to specific questions throughout the R&D process. Cortellis is an indispensable part your daily work flow.

Our AI engine transforms drug discovery. Our discoveries help create better medicines faster. Our AI-enabled discovery portfolio is co-owned and owned by prominent investors. Atomwise developed a machine-learning-based discovery engine that combines the power of convolutional neural networks with massive chemical libraries to discover new small-molecule medicines. People are the key to redefining drug discovery using AI. We are committed to creating the best AI platform possible and using it to transform small-molecule drug discovery. To help drug developers achieve their goals, we have to tackle the most difficult and seemingly impossible targets. We also need to streamline the drug discovery process in order to make it more efficient. The ability to screen trillions of compounds in silica increases the chance of success. Demonstrates exceptional model accuracy, surpassing the challenge of false negatives.

HyperProtein, Hypercube, Inc.'s latest product, focuses on the computational science of protein sequences. The product allows you to analyze one-dimensional sequences of protein as well as subsequent three-dimensional structures. The product's most important feature is the relationship between structure and sequence. HyperProtein is not like other software programs that can perform specific functions, such as sequence alignment or protein sequence sequence, but it does combine a variety of Bioinformatics tools and Molecular Modeling tools that are related to the science that begins with a protein sequence.

Chemical Computing Group (CCG), has a strong reputation in collaborative scientific support. Our team of PhD-level scientists has offices in North America and Europe. They work closely with clients to provide support, hands-on training, and scientific advice on a wide variety of projects. CCG continues to develop new technologies through its team of scientists, mathematicians and software engineers as well as scientific collaborations with customers.

AIDDISON™, a drug discovery software, combines the power and efficiency of artificial intelligence (AI), computer-aided design (CADD), and machine learning (ML) to provide a valuable toolkit that can be used for medicinal chemistry. It is a unified platform that integrates all aspects of virtual screening, including ligand-based design and structure-based design. It also supports methods for in silico lead optimization and discovery.

Many diseases and conditions are linked to the microbiome. Discover how Kaleido is transforming the promise of microbiome into solutions that benefit patients. The human microbiome, which includes bacteria, viruses, archaea, fungi and other organisms, is a collection of over 30 trillion microbes. Research has increased exponentially over the past decade on the effects of the microbiome on human health, including diabetes, heart disease, Parkinson's disease, and cancer. This complex microbial ecosystem has been called a "newly discovered" organ. Many other human organs are worth tens to billions of dollars for therapeutics that modify physiology and treat disease. The microbiome organ is a promising therapeutic option.

MolPad integrates a interactive chemistry sketcher in any online learning platform. Open questions about molecular structure, organic chemistry, and other topics can be created that go beyond recognizing the correct answer. MolPad is a low-code environment that allows for dynamic content creation and smart assessment. It can enrich online chemistry education. We have created several solutions to enable students to practice chemical naming, functional group, and Lewis structures in a digital setting. Smart feedback that is based on specific errors can give students more insight than multiple choice questions.

Rare diseases are often poorly understood and only a small amount of information is available to support drug discovery programs. Healnet, an AI platform that analyzes millions of data points related to drug and disease, helps overcome these challenges. It identifies novel connections that could lead to new treatment options. We can simultaneously run multiple stages at scale by applying frontier technologies throughout the discovery and development process. It's a simple model that can be used by almost all pharmaceutical companies. One disease, one target and one drug. The next generation in drug discovery is AI-powered and parallel. The key three paradigms of drug discovery are combined.

Swiss-PdbViewer, also known as DeepView, is an application that allows you to analyze multiple proteins simultaneously. To compare active sites and other parts, the proteins can be superimposed. The intuitive interface and graphic make it easy to find information about amino acid mutations, Hbonds, angles and distances between atoms. Nicolas Guex has been developing Swiss-PdbViewer (aka DeepView), since 1994. Swiss-PdbViewer was originally tightly connected to SWISS-MODEL (an automated homology modeling server) that was developed at the Structural Bioinformatics Group of the Biozentrum in Basel. The SWISS-MODEL interface has evolved to the point that advanced modeling can now be done directly. It is no longer possible to maintain a direct interface with SwissPdbViewer.

ChemDoodle 2D has thousands of chemistry features that will help you create the best graphics possible and save you hours of work. ChemDoodle 2D graphics are carefully reviewed by us. The software automatically places attributes in the best places, orients bonds in the right directions, merges bonds strokes together, and makes smart decisions that result in beautiful and appealing images. You can always modify the software to your liking. Each component of the graphic can be customized to your liking. You can control the shape transparency and color, as well as bond widths and arrowhead sizes. ChemDoodle's drawing controls allow you to clearly model the atoms, bonds and arrowheads they manage. You are provided with ample visual feedback. You can also customize the drawing tools to suit your preferences, including accessibility considerations.

PyMOL is a user-sponsored molecular visualization system on an open-source foundation. It is maintained and distributed by Schrodinger. The PyQt interface replaces MacPyMOL and Tcl/Tk on all platforms. Support for custom scripting and third-party plugins is better. Comprehensive software package for animating and rendering 3D structures. A plug-in to embed 3D animations and images into PowerPoint presentations. PyMOL is a commercial product. However, most of the source code is freely available under a permissive licence. Schrodinger maintains the open-source project and all PyMOL license holders pay for its funding. Open access incentive executables. Liberal evaluation policy. Improved fuse command (disallows Hypervalent bonds, substitutes monovalent Atoms instead of attaching them to them). Properties inspector now supports unsetting settings using the "delete key". Fix workspace disappearing at specific resolutions

AutoDock is a set of automated docking tools. It predicts how small molecules, such sub- or drug candidates, will bind to a receptor with a known 3D structure. It has been improved over the years to add new functionalities and multiple engines were developed. AutoDock 4 is the current version, and AutoDock Vina is the latest. AutoDock-GPU is an accelerated version that runs hundreds of times faster than the original single CPU docking code. AutoDock 4 is actually composed of two main programs. Autodock docks the ligand to a list of grids that describe the target protein. Autogrid pre-calculates the grids. The atomic affinity grids can also be visualized. This can be used to help organic synthetic chemists create better binders.

We combine clinical and experimental data with machine learning to improve precision medicine and navigate human disease biology. Contingent AI™, a patent-pending technology, understands data relationships to provide sophisticated insights. We tackle data bias by iterating upon machine learning models that are based on decisions made during the feature engineering and pre-processing stages. We use zebrafish, cell, and other phenotypic animals models to validate in-silico predictions in in vivo experiments. We also genetically modify them in vitro to improve translation. We quickly incorporate new data into machine learning models by using active learning and computer vision on validated models of cardiac, central nervous system, and rare disorders. We quickly incorporate new data into machine learning models by using active learning and computer vision with validated models of cardiac, central nervous system, and rare disorders.

Signals Inventa is a next-generation data management platform for scientific results analysis. It is powered by PerkinElmer’s Signals Data Factory technology, which allows you to quickly access and analyze all scientific data collected during the research and development process. Signals Inventa can help you determine which tests are most effective, what next to perform, what you should test, and much more. Signals Inventa makes data ready for exploration by staging, normalizing, and staging it. Signals Inventa expands scientific understanding with a range of scientific-analytical methods, including R-group decomposition, chemical clustering, matched molecular pair analysis, maximum chemical substructure, blast search of both internal and external databases, and sequence alignment.

LiveDesign is an enterprise information platform that allows teams to collaborate, design, experiment, analyze, track, and report in one central platform. You can capture ideas and model data. Create and store virtual compounds in a central database. Use advanced models to prioritize new designs. Integrate biological data and model results from federated corporate databases. Use sophisticated cheminformatics for faster analysis and development of compounds. Advanced physics-based methods are combined with machine learning techniques to quickly improve prediction accuracy. Remote team members can collaborate in real-time. You can collaborate with remote team members to share ideas, test, revise, or advance chemical series without losing sight of your work.

Artificial Intelligence and RNA sequencing (RNA–seq data) are both a necessity and a way to develop therapeutics that target splicing mistakes. Machine learning allows us to quickly identify new splicing mistakes and design therapeutic compounds to correct them. SpliceCore, our AI platform for RNA therapeutics research, is what we call SpliceCore. This technology platform was specifically designed for the analysis and interpretation of RNA sequencing data. It can identify, validate and test hypothetical drug targets quicker than traditional methods. Our proprietary database of over 5 million potential RNA-splicing errors is the heart of SpliceCore. It is the world's largest database of splicing mistakes and is used to test all RNA sequencing data that is submitted for analysis. Scalable cloud computing allows us to process large amounts of RNA sequencing data efficiently at a higher speed and lower cost, thereby exponentially accelerating therapeutic innovation.

Partek bioinformatics software provides powerful visualization and statistical tools in an intuitive interface. Researchers of all levels can explore genomic data faster and more efficiently than ever before. We turn data into discovery®. Our intuitive interface makes it easy for scientists to perform sophisticated array and NGS analysis using pre-installed workflows. Public and custom statistical algorithms can be used together to quickly and accurately distill NGS data into biological insights. Genome browser, Venn diagrams and heat maps, as well as other interactive visualizations, show the biology of your next generation sequencing and array data in vivid color. Our Ph.D. scientists can be reached at any time to assist with your NGS analysis. This product is specifically designed for next-generation sequencing applications that require high-level computing. It offers flexible installation and management options.

JADBio is an automated machine learning platform that uses JADBio's state-of-the art technology without any programming. It solves many open problems in machine-learning with its innovative algorithms. It is easy to use and can perform sophisticated and accurate machine learning analyses, even if you don't know any math, statistics or coding. It was specifically designed for life science data, particularly molecular data. It can handle the unique molecular data issues such as low sample sizes and high numbers of measured quantities, which could reach into the millions. It is essential for life scientists to identify the biomarkers and features that are predictive and important. They also need to know their roles and how they can help them understand the molecular mechanisms. Knowledge discovery is often more important that a predictive model. JADBio focuses on feature selection, and its interpretation.

Site-Identification by Ligand Competitive Saturation generates 3D maps (FragMaps), showing interaction patterns for chemical functional group with your target molecule. Site-Identification through Ligand Competitive Saturation generates 3D maps, (FragMaps), of interaction patterns for chemical functions groups with your target molecule. SILCS reveals the intricacies and provides tools to optimize ligand scaffolds through qualitative and quantitative binding pocket insights. This allows for faster and more effective drug design. SILCS employs multiple small molecule probes that have different functional groups and explicit solvent modeling to perform protein target mapping. Visualize positive interactions with the target macromolecule. Get insights to design better binding agents with the best functional groups.

CDD Vault allows you to intuitively organize chemical structures, biological study data, as well as collaborate with external or internal partners via a simple web interface. Start a free trial to see how easy it can be to manage drug discovery data. Tailored for You Affordable Scales with your project team Activity & Registration * Electronic Lab Notebook * Visualization * Inventory * APIs

Global biopharmaceutical drug patents and generic entry business intelligence. Anticipate future budget needs and proactively find generic sources. Examine past successes of patent challengers to identify research paths for competitors. Inform portfolio management decisions on future drug development. Predict brand drug patent expiration, identify generic supplier, and prevent overstocking of branded drugs. Get formulation and manufacturing information. Identify final formulators, repackagers and relabelled.