Alternatives to Kaleido

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

A data science platform for life scientists. Transform your microbiome research into useful applications Get new, safe and effective products on the market faster. Combine the right combination of data science and collaboration tools to make rapid progress in cancer therapy. Effective digital technology solutions can improve crop productivity and accelerate research. Import both small and large data. You can either use our templates or create your own schema. Our format inference algorithm synthesizes the parsing functions and allows you to override if necessary, without any coding. For bulk imports, you can use our interactive import screens and CLI. Your data is more than just bits. Solvuu automatically calculates summary statistics and generates rich interactive visualizations. You can explore and gain insight into your data instantly; you can even slice and dice it as needed.

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.

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.

Some of the most common life-threatening diseases, such as diabetes and stress, are caused by a lack of movement. These diseases, along with obesity, can be caused by poor nutrition and inactivity. Smoking and living a sedentary lifestyle can increase your risk of developing cancer, heart disease, and blood clots. Stress is a common lifestyle disease that affects both the employed and the unemployed. Stress is a sign that you don't feel capable of living up to your own expectations or those of others. Depression can also be caused by loneliness, which is quite common in Nordic countries.

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.

Predict absorption distribution metabolism and excretion properties from chemical structure. This collection of high-quality calculations for pharmacokinetic properties can be used to support high-throughput screening of libraries. It also provides insight into pharmacological effects and can help ensure that products are safe for humans.

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.

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.

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.

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.

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

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.

Chemia is a browser-based & cloud-ready ELN platform. Chemia was designed, developed and architected by scientists. It is a platform that allows you to manage, assign, monitor, and track all R&D activities. It allows you to automate your R&D setup and makes it paperless. It saves time (approx. It saves time (approx. 1 hour per scientist) through Cross-functional collaboration. This makes it audit-ready and helps you manage data effectively. Fast retrieval, search, comparative studies, and reconfigurability allow for faster and more appropriate decisions. A system for managing inventory and scheduling information for chemicals and equipment within a laboratory. A system that tracks equipment usage, maintenance logs, and calibration logs. This is essential for efficient lab management and effective working. A system that provides the protocol, and ensures compliance.

You can share clinical and pre-clinical knowledge easily across your organization using a single platform that integrates all the tools you need. Phoenix WinNonlin is the preferred choice for non-compartmental analysis, toxicokinetic modeling, pharmacokinetic, and pharmacokinetic (PK/PD), modeling by more than 6,000 researchers from biopharmaceutical companies and academic institutions. It also includes 11 global regulatory agencies including the US FDA (EMA), PMDA, and more. The Phoenix Platform features population PK/PD modeling using Phoenix NLME and Level 1 correlation via the Phoenix IIVC Toolkit. Validation Suites allow for quick and easy software validation in less than 30 minutes.

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.

Specialty and Rare Diseases have undefined patient populations with individuals who may be undiagnosed or incorrectly diagnosed, healthcare providers unaware of disease states, manifestations and treatment journeys. IPM.ai is an Insights-as-a-Service (IaaS) company that empowers the world's leading life sciences brands to better understand and improve the lives of patients through the development, clinical study, and commercialization of therapeutic interventions. Forecast market size, competitive landscape and ROI potential to maximize commercialization efforts. Discover ideal patients who have been misdiagnosed or undiagnosed, and who may be suitable for disease intervention and therapeutic intervention. Model statistically the number of cases of disease present in a specific patient population at any given time. Identify physicians that diagnose and treat ideal patient and influence other healthcare providers.

The BioDigital Human interactive 3D software platform allows you to visualize anatomy, disease, treatment, and more. Our software makes health information visually appealing, simple, and engaging. Interactive 3D is a proven method to improve comprehension and speed in anatomy, disease, treatment education, and treatment education. Interactive visualizations can be created and managed across all your digital channels at a fraction the cost of traditional methods. You can create custom visualizations with Human Studio or work with our professional service team to visualize specific conditions and treatment. For seamless user experience, embed interactive 3D visualizations in any LMS or digital application. BioDigital's software allows organizations to quickly enhance their life science, medical, or health education. BioDigital's software allows for interactive 3D models of human anatomy, disease, physiology, and treatment. These models can then be embedded directly into any curriculum or education material.

Diagnosis refers to the process of determining what disease or condition is causing a person's symptoms and test results. DDxHub – Differential diagnosis Hub is a system that distinguishes a specific disease or condition from others with similar symptoms and lab results. DDxHub is a concentrator which holds a lot disease descriptions. DDxHub can be useful when you are trying to find the right diagnosis by comparing multiple diagnoses. You can upload your own disease definition to DDxHub repository, and then share it with other DDxHub users worldwide. You will receive disorder descriptions from other DDxHub users in return. Join thousands of healthcare professionals and patients who already love DDxHub’s differential diagnosis, sync, disorders description sharing solution. DDxHub can be used by medical students in clinical therapeutics as an educational resource.

OmicsBox, a leading bioinformatics tool, offers end-toend data analysis for genomes, transcriptomes and metagenomes. It also provides genetic variation studies. The application, which is used by leading private and public research institutes worldwide, allows researchers to process large and complicated data sets and streamline their analytical process. It is designed to be efficient, user-friendly and equipped with powerful tools to extract biological insight from omics data. The software is divided into modules, each of which has a set of tools and features designed to perform specific types of analyses, such as de novo genome assemblies, genetic variations analysis, differential expression analyses, taxonomic classifications, and taxonomic classes of microbiome, including the interpretation of results and rich visualizations. The functional analysis module uses the popular Blast2GO annotating methodology, making OmicsBox a great tool for non-model organisms research.

DoseMeRx, the largest Bayesian dosing platform for clinical practice, is the first and most comprehensive in the world. Our Bayesian dosing platform is clinically proven to help you reach your clinical goals faster. We are the only Bayesian dosing system in the world to be HITRUST-certified. You can rest assured that we are committed to maintaining the highest standards of patient data integrity and security. In just a few clicks, you can achieve continuity of care throughout your health system. Standardize workflows and optimize therapeutic drug monitoring programs with ease. We offer a variety of drug models in a variety of therapeutic areas, including vancomycin, infectious disease, transplant medicine and cardiovascular and coagulation management.

Digital Care Made Human™. Omada®, empowers people to reach their health goals by promoting sustainable lifestyle changes. Comprehensive Digital Care. It can be difficult to enroll in multiple programs. Our comprehensive, people-led program provides your employees with 24/7 support that is tailored to their individual needs. Prediabetes@2x Prevention Prevention Fast facts: Prediabetes is a common condition in America. Omada's Prevention Program: Omada’s Prevention program is projected to lower Type 2 Diabetes risk by 30% and heart disease risk by 13%. Participants who completed Omada’s Prevention program lost an average of 4-5% of their bodyweight. Most people keep it off. Type_2_Diabetes@2x Diabetes close button Fast Facts: 46% patients with diabetes don't have adequate glycemic control (A1C > 7%). 4 Omada's Diabetes Program: 92% of participants were satisfied. Participants who did not achieve their goal decreased their A1C by more than 1%. Hypertension. Fast Facts: 46% US population

Specific recommendations for each stage of the patient journey across the continuum. Clear call to action to monitor and enable detailed clinical and commercial outcomes. Implementation of disease-specific risk algorithms for diabetes, cardiovascular, kidney, liver, and other therapies. To assess the risk of inpatient interventions, complete wellness score. Protocols and proprietary data backed customer-friendly clinical material. Ready to use and customize multi-format and multipurpose content. Intelligent decision support - powered both by protocols and machine learning on prescribers prescription patterns. The most advanced customer feedback system specifically designed for healthcare companies. Multi-parameter engine base spend, timely compliance and preventive checkup. Also, demographics, clinical parameter/outcome improvement, and demographics.

We offer a level of collaboration that is not possible in traditional CRO environments. Our goal is to help you succeed in your clinical development program. Clinipace is a global, full service contract research organization (CRO) that focuses on clinical research. Clinipace offers a level of collaboration that is not possible in traditional CRO environments. We place a strong emphasis on personalized services, regulatory expertise, therapeutic leadership, and customized solutions. Our mission is to improve clinical research in major therapeutic areas such as oncology, rare diseases, gastroenterology and nephrology. Clinipace aims to make a difference in drug development and health care. We combine the most advanced technology with a CHALLENGE ACCEPTED approach.

Sofpromed offers electronic data capture (EDC), systems for pharmaceutical, medical device, and biotechnology companies that are conducting phase I-IV clinical trial. An EDC system can be described as a software tool that is used to collect, clean and export data during clinical trials. The EDC application by Sofpromed is used worldwide in clinical trials across many therapeutic areas, including oncology and hematology, cardiovascular, metabolic (CNS), dermatology as well as infectious diseases, respiratory disease, pain, and other diseases. Clear design, intuitive and easy to use Navigation and data entry are quick and easy. Data encryption and access control. No installation required. Service that seamlessly integrates data backups daily. It works on multiple devices, browsers, operating systems, and devices. Monitoring, data management, reporting tool. Conforms to HIPAA, GCP and 21 CFR. Convenient billing model Monthly flat rate

Dexur aggregates data from multiple sources and, coupled with innovative algorithms we can provide various insights to Life Sciences companies including Sales and Marketing and Disease Burden Data. We also show HEOR & RWE and Patient Journey. Dexur uses its anonymized claims data to build disease burden dashboards and data at the national, hospital, and regional level. The outcomes for a disease (e.g. Diabetes, Chronic Kidney Disease), include the total cost, readmission, mortality rates, nursing home costs and length of stay. Dexur's Life Sciences app suite provides deep insights into financial and clinical metrics that aid in the analysis for Hospitals, Ambulatory Surgery Centers(ASC's), providers, and IDN's. This allows life sciences companies to target their products and services more effectively.

Calculate Abraham Solvation Parameters, and other solvation-related properties for solutes, directly from the chemical structure

DARA is based on medical science and explainable system biology and enables and enhances clinical intervention guidance and decision support. We collaborate with healthcare providers and stakeholders to offer digital solutions that transform chronic disease management and health screening. Through clinical workflow automation and predictive analysis, we enable digital transformation in care delivery. Our solutions are based on best practices and gold standard clinical guidelines. We enable physicians to better engage with patients by providing actionable health insight through personalized disease risk and adverse events predictions. We help pharmaceutical development by uncovering pharmacodynamics within complex biological processes and finding novel therapeutic interventions. Predictive analytics based on multidimensional patient data will allow personalized precision medicine to manage cardiometabolic diseases and prevent catastrophic patient outcomes.

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.

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.

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.

AI-powered drug discovery is a proven technology. Cerella extracts hidden insights from your drug discovery data to reveal the best compounds and most valuable experiment for your project. It can make confident predictions by accurately filling in the missing values. This is especially useful for expensive downstream experiments, which are impossible to predict using other methods. This allows you to do more with sparse and limited data sets.

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.

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.

Software that will improve safety, traceability and integration of your Pharmacotechnics and Medicines Manufacturing Unit. PharmaSuite is not designed to be used by all pharmacy services. We have broken PharmaSuite into functional modules that allow you to manage different units in the most efficient manner. Management of the Pharmacotechnics and Drug Preparation units (parenteral mixtures). Management of parenteral nutrition.

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.