Current strategies to address data scarcity in artificial intelligence-based drug discovery: A comprehensive review
Artificial intelligence (AI) has played a vital role in computer-aided drug design (CADD). This
development has been further accelerated with the increasing use of machine learning (ML) …
development has been further accelerated with the increasing use of machine learning (ML) …
Code sharing in the open science era
WP Walters - Journal of chemical information and modeling, 2020 - ACS Publications
Many high-profile scientific journals have established policies mandating the release of
code accompanying papers that describe computational methods. Unfortunately, the …
code accompanying papers that describe computational methods. Unfortunately, the …
Bayesian tensor factorization for predicting clinical outcomes using integrated human genetics evidence
O Soylemez - arXiv preprint arXiv:2207.12538, 2022 - arxiv.org
The approval success rate of drug candidates is very low with the majority of failure due to
safety and efficacy. Increasingly available high dimensional information on targets, drug …
safety and efficacy. Increasingly available high dimensional information on targets, drug …
Using biological and chemical information to improve understanding of drug mechanism of action on the systems-level
L Hosseini-Gerami - 2022 - repository.cam.ac.uk
The understanding of a therapeutic compound's mechanism of action (MoA) can provide
great benefits to the drug discovery process. Biological and chemical information eg …
great benefits to the drug discovery process. Biological and chemical information eg …