文献
J-GLOBAL ID:202202264750582446
整理番号:22A1058253
分子ドッキング,分子動力学シミュレーションおよびMM-PBSAアプローチを用いたSARS-CoV-2のプライムターゲットに対する天然阻害剤の同定【JST・京大機械翻訳】
Identification of natural inhibitors against prime targets of SARS-CoV-2 using molecular docking, molecular dynamics simulation and MM-PBSA approaches
著者 (9件):
Sharma Abhilasha
(B. V. Patel Pharmaceutical Education and Research Development (PERD) Centre, Ahmedabad, Gujarat, India)
,
Sharma Abhilasha
(Registered Ph.D. student of Department of Life science, Gujarat University, Ahmedabad, Gujarat, India)
,
Vora Jaykant
(B. V. Patel Pharmaceutical Education and Research Development (PERD) Centre, Ahmedabad, Gujarat, India)
,
Vora Jaykant
(Registered Ph.D. student of Department of Life science, Gujarat University, Ahmedabad, Gujarat, India)
,
Patel Dhaval
(Department of Biological Sciences and Biotechnology, Indian Institute of Advanced Research, Koba Institutional Area, Gandhinagar, Gujarat, India)
,
Sinha Sonam
(B. V. Patel Pharmaceutical Education and Research Development (PERD) Centre, Ahmedabad, Gujarat, India)
,
Sinha Sonam
(Registered Ph.D. student of Department of Life science, Gujarat University, Ahmedabad, Gujarat, India)
,
Jha Prakash C.
(School of Applied Material Sciences, Central University of Gujarat, Gandhinagar, India)
,
Shrivastava Neeta
(B. V. Patel Pharmaceutical Education and Research Development (PERD) Centre, Ahmedabad, Gujarat, India)
資料名:
Journal of Biomolecular Structure and Dynamics
(Journal of Biomolecular Structure and Dynamics)
巻:
40
号:
7
ページ:
3296-3311
発行年:
2022年
JST資料番号:
W5935A
ISSN:
0739-1102
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)