Alternatives to Phoenix PK/PD Platform

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.

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.

Our reputation as thought leaders in the areas of ADMET property prediction, physiologically-based pharmacokinetics (PBPK) modeling, pharmacometrics, and quantitative systems pharmacology/toxicology is earned through the success our clients have found through their relationship with us. With over 20 years of experience, we have the ability to translate science into software that is easy to use. We also provide expert consulting support for drug discovery, clinical research, and regulatory submissions.

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.

Metabolon offers the largest Level 1 library available in the metabolomics field. Over 5,400 entries are contained in our proprietary library, which has been built over 20 years. The majority of entries are Level 1, accounting for approximately 85% of our library (4,600 entries). However, some are level 2 (approximately 15 % of the entries), due to a lack commercial standards to qualify for Level 1. Metabolon's unmatched library breadth, industry-leading annotation confidence level and unmatched library depth enable us to provide our clients with accurate, highly actionable insight for their scientific or clinical inquiries. Metabolomics is applicable to a wide variety of research, including soil health, food nutrition, preclinical research and clinical trials. Whether you are looking for trends within a group, or modifying an individual's treatment plan, metabolomics will help you find the answers you need.

adWATCH – AE assists pharmaceutical companies to report adverse events that may occur during clinical trials. adWATCH – AE provides a quick and efficient way for a reporter at a clinic or hospital to generate and manage Adverse Event Reports (AERs), and report to regulatory agencies and government agencies. A negative or dangerous effect is one that a patient experiences due to the use of drugs or medical devices. Adverse event reporting involves the tracking of all medical complaint cases. This allows for the generation of MedWatch reports, CIOMS and additional reports for management. adWATCH – AE allows researchers, physician-investigators, Contract Research Organizations, clinical trial specialists, and other healthcare professionals to create and file AERs in FDA mandated MedWatch or CIOMS format.

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.

The biopharmaceutical market is complex today. There are growing demands for better specificity and safety, new treatment classes, and more complex mechanisms of disease. To keep up with this complexity, we need to have a better understanding of therapeutic behavior. Simulation and modeling provide unique opportunities to explore biological and physical processes down to the atomic levels. This can be used to guide physical experimentation and accelerate the discovery and development process. BIOVIA Discovery Studio brings together more than 30 years of peer reviewed research and world-class in-silico techniques like molecular mechanics and free energy calculations. It also allows for biotherapeutics developmentability and other related topics into one environment. It gives researchers a complete toolkit to explore the nuances in protein chemistry and to catalyze the discovery of small and big molecule therapeutics, from Target ID to Lead Optimizement.

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.

Automated surveillance of any source of data, fully integrated with a GVP IX-compliant signal management platform. GVP-IX compliant signal-management platform integrated into Evidex and ready-to-use off-the-shelf. Modernize and audit-proof all your management processes without the need to switch between platforms or services. Your safety data is worth more than you think. Automating signal detection and management allows you to focus on your organization's value, not just regulatory requirements. Safety signals can be identified from traditional sources such as ICSR databases, FDA Adverse Events Reporting System (FAERS), VigiBase, and clinical trial data. Incorporate new data sources like claims, EHR, or other unstructured data. These data sources can be combined seamlessly to improve signaling algorithms, increase validations and assessment efficiency, and provide faster answers for drug safety questions.

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.

DNAnexus Apollo™, accelerates precision drug discovery through collaboration that draws critical insights from omics data. Precision drug discovery requires the collection and analysis of large volumes of clinical and omics data. These data sets are extremely rich, but many legacy and home-grown informatics tools cannot handle their complexity and size. Silos, insufficient collaboration tools, and complex regulatory and security requirements can all hinder precision medicine programs. DNAnexus Apollo™, which supports precision drug discovery programs, empowers scientists and clinicians to analyze and explore omics and clinical data in a single environment built on a robust and scalable cloud platform. Apollo allows them to share data, tools and analyses securely with peers and colleagues from all over the world, regardless of whether they are on another floor or another continent.

NoviSight 3D Cell Analysis Software advances your discovery by providing statistical information for spheroids, and other 3D objects in microplate based experiments. It allows you to quantify cell activity in three dimensions, capture rare events more easily, increase detection sensitivity, and obtain accurate cell counts. NoviSight software has a simple user interface that allows you to perform analysis, recognition, and statistical analyses. NoviSight software's True 3D technology allows you to easily check the morphology and size of your samples. To speed up your research, measure a variety of cell nuclei parameters such as volume and sphericity. You can also analyze 3D cell models that are physiologically relevant to your work. The software can be used to analyze objects of interest and provide spatiotemporal and morphological information in 3D space. You can detect objects from whole structures to subcellular details and analyze changes in spheroids.

3decision®, a cloud-based repository of protein structures, is designed to manage structural data and perform advanced analytics. This allows small molecule and biologicals discovery teams the ability to accelerate structure-based drugs design. It centralizes, standardizes, and integrates experimental and in silico protein structures derived from public sources such as RCSB PDB, AlphaFoldDB as well as proprietary information, including formats like PDBx/mmCIF, and ModelCIF. This allows for easy access to X-Rays, NMRs, cryo-EMs, and modeled protein structures. It also fosters collaboration and enhances research efforts. 3decision®, beyond storage, enriches entries by adding metadata and sequence data, including annotations of antibodies, binding site details, and protein-ligand interaction. Advanced analytical tools can identify druggable site, assess off-target risk, and enable binding sites comparisons. They transform vast structural data into actionable information. Cloud-based platform allows for collaboration between research teams.

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.

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.

BC platforms uses the latest science, unique technology capabilities and strategic partnerships to accomplish our mission of revolutionizing drug discovery, personalizing care, and transforming medicine. Modular, flexible platform that integrates healthcare data. Open analytics framework seamlessly combines the most innovative methods, technology developments and analytics in one platform. Superior security: ISO 27001 certified and GDPR and HIPAA compliant. A complete product portfolio allows modern healthcare systems to fully embrace personalized medicine. Scalable deployments allow for a robust start and large-scale healthcare operation. Our unique toolbox enables faster translation of research insights into clinical practice. Our unique toolbox helps reduce risk, increase your pipeline value, and advance enterprise data strategy. We remove the barriers to data access and enable rapid insight generation.

To drive precision medicine programs that work, pharmaceutical companies require comprehensive genomic information. However, decisions are often made with only 10% of the data available. Genomenon provides 100% of the data. ProdigyTM Patient Landscapes are a cost-effective and efficient natural history research solution for pharmaceuticals. They enhance insights from retrospective and prospective health data to support the development rare disease therapies. Genomenon uses an AI-driven approach to deliver a thorough and expert assessment of all patients in the medical literature in a fraction time. Get a complete overview of every genomic biomarker in the medical literature. Every scientific assertion is supported with empirical evidence from medical literature. Identify all genetic drivers and determine which variants are pathogenic according ACMG clinical standards.

Clara's domain specific tools, AI pretrained models, accelerated applications, and accelerated AI applications are enabling AI advances in many fields, including medical device, imaging, drug discovery and genomics. Holoscan allows you to explore the entire pipeline of medical device deployment and development. With the NVIDIA IGX Developer Kits, you can build containerized AI apps using the Holoscan SDK. The NVIDIA IGX SDK includes pre-trained AI model, healthcare-specific acceleration libraries and reference applications for medical devices.

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.

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.

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.

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.

Discngine Assay, a laboratory informatics tool, integrates all phases of plate-based tests into a coherent, compliant and efficient workflow. It is an essential tool for research labs that screen. It allows scientists to streamline their entire High Throughput screening workflow, from sample analysis and assay data storage to data warehousing to liquid handling equipment qualification. Discngine Assay's intuitive interface and robust API integrate seamlessly with Lab equipments, existing IT environments, and ensure efficient data capture and analysis. It is designed to accelerate the discovery of new molecules, while also addressing the needs of the pharmaceutical, biotech and CRO industries. This will enhance collaboration and drive innovation in life sciences research.

Preclinical information is found in many laboratories. It can be stored in multiple systems within the laboratory and with several external partners. Team members are unable to have clear and informed decisions without a unified solution because they lack transparency in core business data. Pristima, a fully integrated digital laboratory execution platform, features intelligent workflows, task automation, and data and information management throughout the entire preclinical process. Xybion's preclinical platform provides a central data repository as well as a standard archive platform. This platform can help you increase productivity and lower costs. With complete transparency across all platforms, gain visibility into the information that is there and take actions based on your current business needs. Effective data management can reduce the time it takes to submit final SENDs from end-of-study.

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.

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.

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.

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.

Kanteron Platform ingested digital pathology slides, medical images, and patient data from modalities and sequencers. It then provided a complete data toolkit for all hospital network teams. Precision Medicine at the point-of-care: Pharmacogenomics is used to prevent adverse medication events. It also incorporates data sources that have drug-gene interactions that were not previously available in easily accessible formats (e.g. Tables in a PDF document) and implementing the major Pharmacogenomic Databases (like PharmGKB or DGIdb, OpenTargets ...). This allows the user to refine their query to specific gene families, types, interactions, etc. Flexible AI allows you to choose the data set that is most appropriate for your use case and then apply it to your relevant medical images.

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.

To meet ICH M7 guidelines, predict genotoxic and carcinogenic endpoints for impurities and degradations. Impurity profiling Suite is a tool that can be used in your ICH M7 workflow to help you prepare regulatory submissions and stay compliant.

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.

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.

Amazon Neptune is a fully managed graph database service that allows you to quickly and reliably build applications that can work with highly connected data sets. Amazon Neptune's core is a purpose-built graph database engine that can store billions of relationships and query the graph with only milliseconds latency. Amazon Neptune supports the popular graph models Property Graph, W3C's RDF, as well as their respective query languages Apache TinkerPop Gremlin, SPARQL. This allows you to quickly build queries that efficiently navigate large datasets. Neptune supports graph use cases like recommendation engines, fraud detection and knowledge graphs. It also powers network security and drug discovery.

Our immunotherapy approach starts with our understanding of antigens. We also know which neoantigens will be present on cells by Human leukocyte antigen molecules. This will allow us to identify the ones that will be transcribed and translated. Gritstone EDGETM is our machine-learning-based platform that enables us to accomplish this. It is difficult to develop cancer immunotherapies that include tumor specific neoantigens. Tumors can have hundreds of mutations. However, only a small number of these mutations result in true tumor-specific antigens. We used EDGE's new integrated neural network architecture to train it with millions of data points from hundreds tumor and normal tissue samples taken from patients of different ancestries.

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.

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.

R&D and manufacturing labs must be able to change and reconfigure on the fly in order to accelerate new discoveries and bring products to market quickly. Data management shouldn't be a problem. Thermo Scientific™, Nautilus LIMS™, for Dynamic Discovery and R&D Environments was developed in partnership with customers. It is highly configurable and flexible. It increases workflow efficiency, throughput, data reliability, and simplifies administration, sample traceability, and regulatory compliance.

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.

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.

Genedata Imagence®, allows you to train a deep neural net to classify cellular characteristics in HCS images. This will give you objective, high-quality results. It automates your analysis to allow assay biologists to harness the power of deep learning algorithms. Genedata Imagence allows biologists to immediately and directly analyze HCS imaging data with sophisticated deep learning techniques using no specialized algorithmic knowledge. Don't hide your analysis behind abstract lines of code. Genedata Imagence's intuitive interface makes it easy to QC and explore data at every stage.

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.

Makya is a user-friendly SaaS-based platform for AI-driven drug design focusing on Multi-Parametric Optimization. It allows the design of novel compounds that are easy to make in accordance with a multiobjective blueprint at unprecedented speeds, performance and diversity. Makya has multiple generative algorithms that cover different use cases, from hit discovery to lead optimizing: fine-tuning to find optimal solutions in your chemical space according to your project blueprint; novelty to find new ideas of high novelty for rescaffolding/hit discoveries; forward to design a focused collection of compounds easily accessible using commercial starting materials. The new Makya 3D Module enhances the user-experience and scientific utility of Makya. Makya 3D offers a wide range of 3D modeling capabilities in both ligand and structure-based pipelines. You can now use these 3D scores to guide generation natively within Makya.

You expect fast, accurate, and conclusive results when using LC-MS/MS in research or routine workflows. SCIEX software helps you get the most from your high-performance LC/MS/MS system. It provides specific workflow and application modules that can be used to complement your operating system. Your mass spectrometer will run with the right software combination that suits your needs. These are the core engines for SCIEX nominal mass systems and accurate mass LC/MS/MS systems. These modules are designed to quickly and reliably acquire, process, and report data, while remaining compliant. Add-on modules allow for simplified workflows and high performance. With application-specific software modules, you can convert your data into conclusive results faster.

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.

Phoenix is the industry's best end-to-end product (ERP), for travel agencies and travel management businesses. Phoenix has fifteen international and domestic suppliers integrated into it. It is plug-and-play. Phoenix provides a solution that caters to all needs of travel management companies. It eliminates problems or provides insight to customers through extensive reporting and business intelligence.

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.

The majority of core banking systems are from the 1970s. This makes it difficult for them to be compatible with new technologies. The reliability and scope of new core vendors is still unknown. Consumers expect products and services that meet their constantly changing needs and wants. Fusion Phoenix is the ideal core. It is a modern core based entirely on Microsoft technology. Fusion Phoenix's open API architecture allows for easy integration with new technologies. This allows financial institutions to quickly and efficiently take advantage of emerging trends and opportunities. Fusion Phoenix is for credit unions and community banks that think about tomorrow as well as today.

Phoenix CTMS is a web application that combines the capabilities of database software used for clinical research in one modular system. The Phoenix CTMS is now publicly available (LGPL 2.0) after years of collaboration with trial sites at Medical University of Graz. This feature set is unrivalled and designed to meet all regulatory and operational requirements of the clinical front end of academic research at CROs (Contract Research Organisations), hospitals and clinics conducting clinical studies at any phase. A CDMS that supports unlimited Javascript form scripting (server-side and browserside) is what you need. You will need to deal with large electronic case report forms (eCRFs) Want to explore an open-source alternative to eCRFs. To create complex queries in ad-hoc databases to find matching candidates using set operations, You will need to conduct multiple trials simultaneously and organize staff and resources at each site. You will need software to implement different processes for ICH GCP.