MolTarPred: A web tool for comprehensive target prediction with reliability estimation-Reference-Cited by-同舟云学术

MolTarPred: A web tool for comprehensive target prediction with reliability estimation

Published:2019-04-22 Issue:1 Volume:94 Page:1390-1401
ISSN:1747-0277
Container-title:Chemical Biology & Drug Design
language:en
Short-container-title:Chem Biol Drug Des

Author:

Peón Antonio¹²³⁴,Li Hongjian⁵⁶,Ghislat Ghita⁷,Leung Kwong‐Sak⁸,Wong Man‐Hon⁸,Lu Gang⁶,Ballester Pedro J.¹²³⁴^ORCID

Affiliation:

1. Centre de Recherche en Cancérologie de Marseille (CRCM) U1068 Inserm Marseille France

2. UMR7258 CNRS Marseille France

3. Institut Paoli‐Calmettes Marseille France

4. UM 105 Aix‐Marseille University Marseille France

5. SDIVF R&D Centre Hong Kong Science Park Sha Tin New Territories Hong Kong

6. CUHK‐SDU Joint Laboratory on Reproductive Genetics School of Biomedical Sciences The Chinese University of Hong Kong Sha Tin New Territories Hong Kong

7. U1104 CNRS UMR7280 Centre d'Immunologie de Marseille‐Luminy Inserm Marseille France

8. Department of Computer Science and Engineering The Chinese University of Hong Kong Sha Tin New Territories Hong Kong

Funder

Agence Nationale de la Recherche

Chinese University of Hong Kong

Publisher

Wiley

Subject

Molecular Medicine,Biochemistry,Drug Discovery,Pharmacology,Organic Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cbdd.13516

Reference45 articles.

1. Ligand-Based Target Prediction with Signature Fingerprints

2. Inhibition of Peripheral Aromatization of Androstenedione to Estrone in Postmenopausal Women with Breast Cancer Using Δ1Testololactone*

3. The ChEMBL bioactivity database: an update

4. Vorinostat-An overview

Cited by 32 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. Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy;Journal of Cheminformatics;2024-03-07

2. In Silico and Biophysical Techniques in Anticancer Drug Discovery Research;Interdisciplinary Cancer Research;2024

3. Inactive-enriched machine-learning models exploiting patent data improve structure-based virtual screening for PDL1 dimerizers;Journal of Advanced Research;2024-01

4. In-silico target prediction by ensemble chemogenomic model based on multi-scale information of chemical structures and protein sequences;Journal of Cheminformatics;2023-04-23

5. Exploring Target Identification for Drug Design with K-Nearest Neighbors’ Algorithm;Artificial Intelligence and Soft Computing;2023