A review of molecular representation in the age of machine learning

DS Wigh, JM Goodman… - Wiley Interdisciplinary …, 2022 - Wiley Online Library
Research in chemistry increasingly requires interdisciplinary work prompted by, among
other things, advances in computing, machine learning, and artificial intelligence. Everyone …

Mapping the landscape of artificial intelligence applications against COVID-19

J Bullock, A Luccioni, KH Pham, CSN Lam… - Journal of Artificial …, 2020 - jair.org
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by
the World Health Organization, which has reported over 18 million confirmed cases as of …

[HTML][HTML] Spatially resolved multiomics of human cardiac niches

K Kanemaru, J Cranley, D Muraro, AMA Miranda… - Nature, 2023 - nature.com
The function of a cell is defined by its intrinsic characteristics and its niche: the tissue
microenvironment in which it dwells. Here we combine single-cell and spatial …

GPCRdb in 2021: integrating GPCR sequence, structure and function

AJ Kooistra, S Mordalski… - Nucleic Acids …, 2021 - academic.oup.com
G protein-coupled receptors (GPCRs) form both the largest family of membrane proteins and
drug targets, mediating the action of one-third of medicines. The GPCR database, GPCRdb …

The Natural Products Atlas 2.0: a database of microbially-derived natural products

JA van Santen, EF Poynton, D Iskakova… - Nucleic acids …, 2022 - academic.oup.com
Within the natural products field there is an increasing emphasis on the study of compounds
from microbial sources. This has been fuelled by interest in the central role that …

Therapeutics data commons: Machine learning datasets and tasks for drug discovery and development

K Huang, T Fu, W Gao, Y Zhao, Y Roohani… - arXiv preprint arXiv …, 2021 - arxiv.org
Therapeutics machine learning is an emerging field with incredible opportunities for
innovatiaon and impact. However, advancement in this field requires formulation of …

Advancing drug discovery via artificial intelligence

HCS Chan, H Shan, T Dahoun, H Vogel… - Trends in pharmacological …, 2019 - cell.com
Drug discovery and development are among the most important translational science
activities that contribute to human health and wellbeing. However, the development of a new …

ChEMBL: towards direct deposition of bioassay data

D Mendez, A Gaulton, AP Bento… - Nucleic acids …, 2019 - academic.oup.com
ChEMBL is a large, open-access bioactivity database (https://www. ebi. ac. uk/chembl),
previously described in the 2012, 2014 and 2017 Nucleic Acids Research Database Issues …

An updated review of computer‐aided drug design and its application to COVID‐19

AB Gurung, MA Ali, J Lee, MA Farah… - BioMed research …, 2021 - Wiley Online Library
The recent outbreak of the deadly coronavirus disease 19 (COVID‐19) pandemic poses
serious health concerns around the world. The lack of approved drugs or vaccines continues …

The ChEMBL database in 2017

A Gaulton, A Hersey, M Nowotka, AP Bento… - Nucleic acids …, 2017 - academic.oup.com
ChEMBL is an open large-scale bioactivity database (https://www. ebi. ac. uk/chembl),
previously described in the 2012 and 2014 Nucleic Acids Research Database Issues. Since …