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Agility with Complex Data Sets – Integration of Predicted and Empirical Data for Drug Discovery

Collaborative Drug

We recently hosted an insightful webinar featuring the team from Congruence Therapeutics , who shared how they're using CDD Vault alongside their proprietary systems to manage complex drug discovery data.

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Breakthroughs in Computer Aided Drug Design with New Methods of Accelerated Computational Chemistry

Fierce BioTech

Research scientists, drug discovery CROs, chief technology officers and chief information officers will gather insights into how Rescale, a software-as-a-service (SaaS) platform, makes it incredibly fast and simple to deploy a complex full-stack HPC environment for computational scientists. Click here to login.

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AI in Drug Discovery - A Highly Opinionated Literature Review (Part III)

Practical Cheminformatics

Property Prediction Machine Learning Methods for Small Data Challenges in Molecular Science [link] Practical guidelines for the use of gradient boosting for molecular property prediction [link] Application of message passing neural networks for molecular property prediction [link] Molecular Similarity Molecular Similarity: Theory, Applications, and (..)

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Patent Highlights: Allosteric AR Modulators, Glycogen Synthase Inhibitors, and More

Drug Hunter

Drug Hunter Premium is drug discovery, distilled, so you can quickly catch up and make informed decisions based on industry examples. log in: Username or E-mail Password Remember Me Forgot Password The post Patent Highlights: Allosteric AR Modulators, Glycogen Synthase Inhibitors, and More appeared first on Drug Hunter.

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Drug Repurposing: A New Life for Old Drugs

DrugBank

Drug repurposing is an approach that, while not new, has become popular in the last decade.   One of the most exciting prospects of drug repurposing is its potential to tackle "undruggable" targets—proteins or molecules that traditional drugs can't easily bind to.

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High Throughput Screening (HTS)

Sygnature Discovery

Employing a comprehensive strategy for hit identification, we use the most effective methods to accurately pinpoint hit series that have the highest potential for evolving into compounds with drug-like properties. Compound Libraries Our high throughput screening compound libraries are crucial for high-quality drug discovery starting points.

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The Data-Driven Future of Drug Development

DrugBank

Data science has emerged as an innovative tool in the biopharmaceutical industry, leveraging the power of machine learning and artificial intelligence to drive innovation and efficiency across the entire drug development lifecycle.