In-silico-based Lead Optimization of Hit Compounds Targeting Mitotic Kinesin Eg5 for Cancer Management
Overview
Overview
Authors
Authors
Affiliations
Affiliations
Soon will be listed here.
Abstract
Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-024-00300-6.
Citing Articles
Li W, Lee D, Stahl J, Bayer J PLoS One. 2025; 20(3):e0319604.
PMID: 40067868 PMC: 11896044. DOI: 10.1371/journal.pone.0319604.
References
1.
Wang J, Mao J, Wang M, Le X, Wang Y
. Explore drug-like space with deep generative models. Methods. 2023; 210:52-59.
DOI: 10.1016/j.ymeth.2023.01.004.
View
2.
Wei W, Cherukupalli S, Jing L, Liu X, Zhan P
. Fsp: A new parameter for drug-likeness. Drug Discov Today. 2020; 25(10):1839-1845.
DOI: 10.1016/j.drudis.2020.07.017.
View
3.
Melit Devassy B, George S
. Dimensionality reduction and visualisation of hyperspectral ink data using t-SNE. Forensic Sci Int. 2020; 311:110194.
DOI: 10.1016/j.forsciint.2020.110194.
View
4.
Wang M, Wang Z, Sun H, Wang J, Shen C, Weng G
. Deep learning approaches for de novo drug design: An overview. Curr Opin Struct Biol. 2021; 72:135-144.
DOI: 10.1016/j.sbi.2021.10.001.
View
5.
Langdon S, Ertl P, Brown N
. Bioisosteric Replacement and Scaffold Hopping in Lead Generation and Optimization. Mol Inform. 2016; 29(5):366-85.
DOI: 10.1002/minf.201000019.
View