New machine learning and physics-based scoring functions for drug discovery

AI-Guided Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) Prediction

Link-INVENT: generative linker design with reinforcement learning - Digital Discovery (RSC Publishing) DOI:10.1039/D2DD00115B

New machine learning and physics-based scoring functions for drug discovery. - Abstract - Europe PMC

Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection

Computational drug discovery under RNA times, QRB Discovery

Building Machine-Learning Scoring Functions for Structure-Based Prediction of Intermolecular Binding Affinity

An Overview of Scoring Functions Used for Protein–Ligand Interactions in Molecular Docking

AI Startups for ADMET Prediction - by Marina T Alamanou

Frontiers Hierarchical Virtual Screening Based on Rocaglamide Derivatives to Discover New Potential Anti-Skin Cancer Agents

PIGNet: a physics-informed deep learning model toward generalized drug–target interaction predictions - Chemical Science (RSC Publishing)

Against score levels?

Prediction of 10-Year Cardiovascular Disease Risk, by Diabetes status and Lipoprotein-a levels; the HellenicSCORE II+ - ScienceDirect

A Pragmatic Utility Function to Describe the Risk-Benefit Composite of Opioid and Nonopioid Analgesic Medication

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the facts about groundwater sustainability, groundwater hydrology, hydrogeology, Victor Miguel Ponce