ASD2023: Toward an integrated allosteric knowledgebase

Jan 5, 2024·
Jixiao He
,
Xinyi Liu
,
Chunhao Zhu
,
Jinyin Zha
,
Qian Li
,
Mingzhu Zhao
,
Jiacheng Wei
Feiying Chen
Feiying Chen
· 1 min read
Abstract
ASD2023 expands the Allosteric Database into a broader knowledgebase for allosteric regulation. New resources include 66,589 predicted human allosteric sites, 748 allosteric PPI modulators, an allosteric hit-to-lead dataset linking 87 hits to 6,565 leads, and 456 dualsteric modulators.
Type
Publication
Nucleic Acids Research, 52(D1)
Status
Peer-reviewed Open access
publications

Citation. Jixiao He, Xinyi Liu, Chunhao Zhu, Jinyin Zha, Qian Li, Mingzhu Zhao, Jiacheng Wei, Feiying Chen, et al. ASD2023: towards the integrating landscapes of allosteric knowledgebase. Nucleic Acids Research, 2024.

ASD2023 extends the Allosteric Database from curated entries toward an integrated research platform for allosteric target discovery, mechanistic analysis, and drug development.

Allostery Database Drug Discovery
Feiying Chen
Authors
Feiying Chen
PhD Student in Biology
Feiying Chen is a PhD student in Biology at Tsinghua University. His research interests include perturbation biology, AI virtual cell modeling, single-cell transcriptomics, AI-driven drug discovery, and phenotype-based drug design.