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Current Topics in Medicinal Chemistry

Editor-in-Chief

ISSN (Print): 1568-0266
ISSN (Online): 1873-4294

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Editorial

New Experimental and Computational Tools for Drug Discovery. Part – XII

Author(s): Humberto González-Díaz

Volume 21, Issue 9, 2021

Page: [789 - 789] Pages: 1

DOI: 10.2174/156802662109210526103614

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[1]
Qureshi, S.; Khandelwal, R.; Madhavi, M.; Khurana, N.; Gupta, N.; Choudhary, S.K.; Suresh, R.A.; Hazarika, L.; Srija, C.D.; Sharma, K.; Hindala, M.R.; Hussain, T.; Nayarisseri, A.; Singh, S.K. A Multi-target drug designing for btk, mmp9, proteasome and tak1 for the clinicaltreatment of mantle cell lymphoma. Curr. Top. Med. Chem., 2021, 21(9), 790-818.
[2]
Diéguez-Santana, K.; Casañola-Martin, G.M.; Green, J.R.; Rasulev, B.; González-Díaz, H. Predicting metabolic reaction networks with perturbation theory machine learning (ptml) models. Curr. Top. Med. Chem., 2021, 21(9), 819-827.
[3]
Santana, R.; Onieva, E.; Zuluaga, R.; Duardo-Sánchez, A.; Gañán, P. The role of machine learning in centralized authorization process of nanomedicines in european union. Curr. Top. Med. Chem., 2021, 21(9), 828-838.

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