Field-based 3D-QSAR for tyrosine protein kinase JAK-2 inhibitors-Reference-Cited by-同舟云学术

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Field-based 3D-QSAR for tyrosine protein kinase JAK-2 inhibitors

Published:2023-07-06 Issue: Volume: Page:1-13
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Andole Sowmya¹,Thumma Gouthami²,Alavala Rajasekhar Reddy³,Gangarapu Kiran¹

Affiliation:

1. School of Pharamcy, Anurag University, Venkatapur, Ghatkesar, Medchal–Malkajgiri district, Hyderabad, Telangana, India

2. University College of Pharmaceutical Sciences, Kakatiya University, Hanamkonda, Warangal, Telangana, India

3. Shobhaben Pratapbhai Patel School of Pharmacy & Technology Management, SVKM’s NMIMS, Mumbai, India

Funder

All India Council for Technical Education.

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2023.2226723

Reference37 articles.

1. Predictive Quantitative Structure–Activity Relationship Modeling of the Antifungal and Antibiotic Properties of Triazolothiadiazine Compounds

2. Understanding the structural features of JAK2 inhibitors: a combined 3D-QSAR, DFT and molecular dynamics study

3. Potent and Selective Inhibition of Polycythemia by the Quinoxaline JAK2 Inhibitor NVP-BSK805

4. Bowers, K. J., Chow, E., Xu, H., Dror, R. O., Eastwood, M. P., Gregersen, B. A., Klepeis, J. L., Kolossvary, I., Moraes, M. A. & Sacerdoti, F. D. (2006). Scalable algorithms for molecular dynamics simulations on commodity clusters. Proceedings of the 2006 ACM/IEEE Conference on Supercomputing. IEEE.

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