Cargando…
MF-PCBA: Multifidelity High-Throughput Screening Benchmarks for Drug Discovery and Machine Learning
[Image: see text] High-throughput screening (HTS), as one of the key techniques in drug discovery, is frequently used to identify promising drug candidates in a largely automated and cost-effective way. One of the necessary conditions for successful HTS campaigns is a large and diverse compound libr...
Autores principales: | Buterez, David, Janet, Jon Paul, Kiddle, Steven J., Liò, Pietro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170507/ https://www.ncbi.nlm.nih.gov/pubmed/37058588 http://dx.doi.org/10.1021/acs.jcim.2c01569 |
Ejemplares similares
-
Modelling local and general quantum mechanical properties with attention-based pooling
por: Buterez, David, et al.
Publicado: (2023) -
Calibrating DFT Formation
Enthalpy Calculations by
Multifidelity Machine Learning
por: Gong, Sheng, et al.
Publicado: (2022) -
Multifidelity computing for coupling full and reduced order models
por: Ahmed, Shady E., et al.
Publicado: (2021) -
Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds
por: Tsilifis, Panagiotis, et al.
Publicado: (2022) -
Multifidelity Analysis for Predicting Rare Events in Stochastic Computational Models of Complex Biological Systems
por: Pienaar, Elsje
Publicado: (2018)