Related Experiment Video
Updated: Jul 6, 2025

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
Published on: February 23, 2024
The Future of Machine Learning Within Target Identification: Causality, Reversibility, and Druggability
Jake P Taylor-King1, Michael Bronstein1,2, David Roblin1,3
1Relation Therapeutics, London, UK.
No abstract available in PubMed .
More Related Videos
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
09:43Using Optogenetics to Reverse Neuroplasticity and Inhibit Cocaine Seeking in Rats
Published on: October 5, 2021
Related Concept Videos
Drug Discovery: Overview
Targets for Drug Action: Overview
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
Law of Effect
Edward Thorndike's foundational work involved studying learning in animals, particularly using puzzle...
Structure-Activity Relationships and Drug Design
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
Drug Abuse and Addiction: Pharmacological Phenomena
Principles of Drug Action
Drugs can be agonists or antagonists. Like the endogenous ligands, agonists always bind and activate the target to produce a cellular response. Agonist binding induces a conformational change which in turn...