Computational investigation of TGF-β receptor inhibitors for treatment of idiopathic pulmonary fibrosis: Field-based QSAR model and molecular dynamics simulation-Reference-Cited by-同舟云学术

Computational investigation of TGF-β receptor inhibitors for treatment of idiopathic pulmonary fibrosis: Field-based QSAR model and molecular dynamics simulation

Published:2018-10 Issue: Volume:76 Page:139-150
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Li Wei,Liu Xue,Muhammad Suleiman,Shi JiYue,Meng YanQiu,Wang Jian

Funder

Fund for long-term training of young teachers in Shenyang Pharmaceutical University

the National Natural Science Foundation of Liaoning province

Training Program Foundation for the Distinguished Young Scholars of University in Liaoning Province

Liaoning Provincial Department of Education Research Project

Liaoning Province Natural Science Foundation

Shenyang Science and Technology Plan Project

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

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3. Combined 2D and 3D-QSAR, molecular modelling and docking studies of pyrazolodiazepinones as novel phosphodiesterase 2 inhibitors;Bhansali;SAR QSAR Environ. Res.,2014

4. High content pharmacophores from molecular fields: a biologically relevant method for comparing and understanding ligands;Cheeseright;Curr. Comput. Aided Drug Des.,2011

5. Pulmonary hypertension associated with idiopathic pulmonary fibrosis: current and future perspectives;Collum;Can. Respir. J.,2017

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