
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 12, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 12, 2024
Language: Английский
Journal of Chemical Information and Modeling, Journal Year: 2024, Volume and Issue: 64(22), P. 8521 - 8536
Published: Nov. 5, 2024
The CACHE challenges are a series of prospective benchmarking exercises to evaluate progress in the field computational hit-finding. Here we report results inaugural challenge which 23 teams each selected up 100 commercially available compounds that they predicted would bind WDR domain Parkinson's disease target LRRK2, with no known ligand and only an apo structure PDB. lack binding data presumably low druggability is hit finding methods. Of 1955 molecules by participants Round 1 challenge, 73 were found LRRK2 SPR assay KD lower than 150 μM. These advanced 2 expansion phase, where 50 analogs. Binding was observed two orthogonal assays for seven chemically diverse series, affinities ranging from 18 140 successful workflows varied their screening strategies techniques. Three used molecular dynamics produce conformational ensemble targeted site, three included fragment docking step, implemented generative design strategy five one or more deep learning steps. #1 reflects highly exploratory phase drug adopted strikingly diverging strategies. Machine learning-accelerated methods achieved similar brute force (e.g., exhaustive) docking. First-in-class, experimentally confirmed rare weakly potent, indicating recent advances not sufficient effectively address challenging targets.
Language: Английский
Citations
7In Silico Pharmacology, Journal Year: 2025, Volume and Issue: 13(1)
Published: Feb. 10, 2025
Language: Английский
Citations
0European Journal of Medicinal Chemistry, Journal Year: 2024, Volume and Issue: 283, P. 117162 - 117162
Published: Dec. 11, 2024
Language: Английский
Citations
3bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: July 18, 2024
ABSTRACT The CACHE challenges are a series of prospective benchmarking exercises meant to evaluate progress in the field computational hit-finding. Here we report results inaugural #1 challenge which 23 teams each selected up 100 commercially available compounds that they predicted would bind WDR domain Parkinson’s disease target LRRK2, with no known ligand and only an apo structure PDB. lack binding data presumably low druggability is hit finding methods. Seventy-three 1955 procured molecules bound LRRK2 SPR assay K D lower than 150 μM were advanced expansion phase where 50 analogs each. Binding was observed two orthogonal assays affinities ranging from 18 140 for seven chemically diverse series. successful workflows varied their screening strategies techniques. Three used molecular dynamics produce conformational ensemble targeted site, three included fragment docking step, implemented generative design strategy five one or more deep learning steps. reflects highly exploratory drug participants sometimes adopted strikingly diverging strategies. Machine-learning accelerated methods achieved similar brute force (e.g. exhaustive) docking. First-in-class, experimentally confirmed rare weakly potent, indicating recent advances not sufficient effectively address challenging targets.
Language: Английский
Citations
2Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 12, 2024
Language: Английский
Citations
0