Virtual screening of chemical compounds active against breast cancer cell lines based on cell cycle modelling, prediction of cytotoxicity and interaction with targets-Reference-Cited by-同舟云学术

Virtual screening of chemical compounds active against breast cancer cell lines based on cell cycle modelling, prediction of cytotoxicity and interaction with targets

Published:2015-09-02 Issue:7-9 Volume:26 Page:595-604
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Konova V.¹,Lagunin A.¹²,Pogodin P.¹²,Kolotova E.³,Shtil A.³,Poroikov V.¹²

Affiliation:

1. Department for Bioinformatics, Institute of Biomedical Chemistry (IBMC), Moscow, Russia

2. Medical-Biological Faculty, National Research Medical University, Moscow, Russia

3. Blokhin Cancer Center, Moscow, Russia

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2015.1076516

Reference41 articles.

1. OCSANA: optimal combinations of interventions from network analysis

2. Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties

3. The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease

4. Transcriptional data: a new gateway to drug repositioning?

5. Some solved and unsolved problems of chemoinformatics

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. In silico analysis of marine natural product for protein arginine methyltransferase 5(PRMT5) inhibitors based on pharmacophore and molecular docking;Journal of Biomolecular Structure and Dynamics;2023-03-01

2. Computer-aided prediction of biological activity spectra for organic compounds: the possibilities and limitations;Russian Chemical Bulletin;2019-12

3. Applications of Multi-Target Computer-Aided Methodologies in Molecular Design of CNS Drugs;Current Medicinal Chemistry;2019-01-17

4. Predicting Cytotoxicity of 2-Phenylindole Derivatives Against Breast Cancer Cells Using Index of Ideality of Correlation;Anticancer Research;2018-11

5. CLC-Pred: A freely available web-service for in silico prediction of human cell line cytotoxicity for drug-like compounds;PLOS ONE;2018-01-25