Best Drug Discovery Software in Mexico - Page 3

Aurora employs quantum mechanics, thermodynamics, and an advanced continuous water model for solvation effects to calculate ligand´s binding affinities. This approach differs dramatically from scoring functions that are commonly used for binding affinity predictions. By including the entropy and aqueous electrostatic contributions in to the calculations directly, Aurora algorithms produce much more accurate and robust values of binding free energies. Interaction of a ligand with a protein is characterized by the value of binding free energy. The free energy (F) is the thermodynamic quantity that is directly related to experimentally measurable value of inhibition constant (IC50) and depends on electrostatic, quantum, aqueous solvation forces, as well as on statistical properties of interacting molecules. There are two major contributing quantities leading to non-additivity in F: 1) the electrostatic and solvation energy and 2) the entropy.

DNAnexus Apollo™ accelerates precision drug discovery by unlocking the power of collaboration to draw critical insights from omics data. Precision drug discovery requires collecting and analyzing huge volumes of omics and clinical data. These datasets are incredibly rich resources, but most legacy and home-grown informatics tools can't cope with their size and complexity. Precision medicine programs can also be hampered by siloed data sources, underpowered collaboration tools, and the burden of complex and always changing regulatory and security requirements. DNAnexus Apollo™ supports precision drug discovery programs by empowering scientists and clinicians to explore and analyze omics and clinical data together, in a single environment, built on a robust, scalable cloud platform. Apollo lets them share data, tools, and analyses easily and securely with peers and collaborators everywhere - whether they're on another floor, or another continent.

The software that will help you improve the safety, traceability, quality, agility and integration of your Pharmacotechnics and Medicines Manufacturing Unit. No two pharmacy services are the same, which is why we have divided PharmaSuite into functional modules that will help you manage the different units in the most efficient way. Management of the Pharmacotechnics and Drug Preparation unit (parenteral mixtures). Management of parenteral nutrition.

Chemical Computing Group (CCG) has a strong reputation for collaborative scientific support. With offices in North America, Europe and Asia, our team of PhD-level scientists works closely with our clients, providing support, hands-on training and scientific advice on a wide range of projects. CCG continuously develops new technologies with its team of mathematicians, scientists and software engineers and through scientific collaborations with customers.

Chemia is a Browser-based & cloud-ready ELN platform. Chemia is conceived, designed and architected by scientists for scientists. A platform to drive, assign, manage and monitor all R&D activities and record capture from one dashboard. It enables you to automate your R&D set-up and make it a truly paperless operation. It saves time(approx. an hour saved per scientist) with Cross-functional collaboration; makes you audit-ready and manages data effectively. Quick retrieval, search, comparative study, and reconfigurability enable faster and appropriate decisions. An inventory management system that organizes, maintains and schedules relevant information for chemicals and equipment used inside the laboratory. A system that provides usage logs of equipment, maintenance logs and calibration logs, for effective management of labs and efficient working. A system that provides the protocol and adherence to it for compliance.

The first pillar of our immunotherapy is our understanding of antigens and neoantigens, and specifically which ones will be transcribed, translated, processed and presented on a cell surface by Human leukocyte antigen (HLA) molecules; and therefore will be visible to T cells. We accomplish this through the use of Gritstone EDGETM, our proprietary machine learning-based platform. Developing cancer immunotherapies that include tumor-specific neoantigens presents a challenge due to their nature – tumors typically have hundreds of mutations, but only a small percentage of those mutations result in true tumor-specific neoantigens that are. To address this challenge, we trained EDGE’s novel integrated neural network model architecture with millions of data points from hundreds of tumor and normal tissue samples from patients of various ancestries.

Rare diseases are often not well studied and there is a limited understanding of many of the aspects necessary to support a drug discovery program. Our AI platform, Healnet, overcomes these challenges by analyzing millions of drug and disease data points to find novel connections that could be turned into new treatment opportunities. By applying frontier technologies across the discovery and development pipeline, we can run multiple stages in parallel and at scale. One disease, one target, one drug: it's an overly simple model, yet it's the one used by nearly all pharmaceutical companies. The next generation of drug discovery is AI-powered, parallel and hypothesis-free. Bringing together the key three drug discovery paradigms.

Kanteron Platform ingested medical images, digital pathology slides, genomics sequences, and patient data from modalities, scanners, sequencers and databases, and provided a complete data toolkit to every team in hospital networks. Pharmacogenomics for adverse medication event prevention, and Precision Medicine application at the point of care: Incorporates sources of drug-gene interaction data that were previously only available in in accessible formats (e.g. tables in a PDF document), implementing the major Pharmacogenomic databases (like PharmGKB, CGI, DGIdb, OpenTargets...) Allows the user to refine their query to certain gene families, types of interactions, classes of drugs, etc. Flexible AI means you can choose the data set that best fits your use case, and apply it to your relevant medical images.

Unlock hidden insights in data using the Cortellis™ suite of life science intelligence solutions – so you can make better informed decisions along the entire R&D lifecycle. We’ve removed the hard work of finding, integrating, and analyzing data so you can focus on the critical decisions needed to get your products to market faster. Applying a unique depth, breadth and quality of data that is enriched with deep domain knowledge, industry understanding, and therapeutic expertise, Cortellis unlocks hidden insights to drive data-driven decisions that accelerate innovation. Get precise, actionable answers to your specific questions across the R&D lifecycle with the broadest and deepest sources of intelligence. Accelerate innovation with Cortellis as an indispensable part of your daily workflow.

Leverage the power of AI to expedite the journey from bench research and laboratory insights to the launch of life-changing therapies. Gain up to 90% in research productivity by reducing your reading time from months to minutes. Cut through the noise with a high-precision, high-accuracy search to navigate the ever-growing volume of scientific literature with ease. Save time, reduce bias and increase odds of novel discoveries. Deeply explore disease biology and conduct advanced target discovery. Causaly’s high-precision knowledge graph consolidates evidence from millions of publications, making deep, unbiased scientific exploration possible. Rapidly navigate biological cause-and-effect relationships without being an expert. Get a view of all scientific documents and uncover hidden connections. Causaly’s powerful AI machine reads millions of published biomedical literature to support better decision-making and research outcomes.

Proven AI-powered drug discovery. Cerella creates new value from your drug discovery data, revealing hidden insights into the best compounds and most valuable experiments for your project. It makes confident predictions, accurately filling in missing values, especially for expensive downstream experiments that can’t be predicted by other methods. This enables you to do more, even with sparse, limited data sets.

Palladium is a downloadable DNA encoded library software for data analysis, virtual screening, and resynthesis prioritisation. Palladium is compatible with all DEL builds and manufacturers, is available on all major operating systems, and comes with full data analysis support.

Transform drug discovery and materials research with advanced molecular modeling. Our physics-based computational platform integrates differentiated solutions for predictive modeling, data analytics, and collaboration to enable rapid exploration of chemical space. Our platform is deployed by industry leaders worldwide for drug discovery, as well as for materials science in fields as diverse as aerospace, energy, semiconductors, and electronics displays. The platform powers our own drug discovery efforts, from target identification to hit discovery to lead optimization. It also drives our research collaborations to develop novel medicines for critical public health needs. With more than 150 Ph.D. scientists on our team, we invest heavily in R&D. We’ve published over 400 peer-reviewed papers that demonstrate the strength of our physics-based approaches, and we’re continually pushing the limits of computer modeling.

Scitara DLX™ offers a rapid connectivity infrastructure for any instrument in the life science laboratory in a fully compliant and auditable cloud-based platform. Scitara DLX™ is a universal digital data infrastructure that connects any instrument, resource, app and software in the laboratory. The cloud-based, fully auditable platform connects all data sources across the lab, allowing the free flow of data across multiple end points. This allows scientists to devote their time to scientific research, not waste it solving data issues. DLX curates and corrects data in flight to support the development of accurate, properly structured data models that feed AI and ML systems. This supports a successful digital transformation strategy in the pharma and biopharma industries. Unlocking insights from scientific data enables faster decision-making in drug discovery and development, helping bring drugs to market more quickly.

Software to Streamline High Throughput Experiments from Design to Decide.

Predict genotoxic & carcinogenic endpoints of impurities and degradants to meet ICH M7 guidelines. Impurity Profiling Suite can be used as part of your ICH M7 workflow—to help prepare regulatory submissions and remain compliant.

Predict absorption, distribution, metabolism, and excretion (ADME) properties from chemical structure. This collection of high-quality calculations of pharmacokinetic properties supports high-throughput screening of libraries, provides insights into pharmacological effects, and can help assure that products are safe for human use.

Calculate Abraham Solvation Parameters and various solvation-related properties of solutes, directly from chemical structure.