Nand M - Search Results

1

Dayara bugyal restoration model in the alpine and subalpine region of the Central Himalaya: a step toward minimizing the impacts.

Kuniyal JC, Maiti P, Kumar S, Kumar A, Bisht N, Sekar KC, Arya SC, Rai S, Nand M. Kuniyal JC, et al. Among authors: nand m. Sci Rep. 2021 Aug 16;11(1):16547. doi: 10.1038/s41598-021-95472-y. Sci Rep. 2021. PMID: 34400660 Free PMC article.

2

Virtual screening of natural compounds as inhibitors of EGFR 696-1022 T790M associated with non-small cell lung cancer.

Nand M, Maiti P, Pant R, Kumari M, Chandra S, Pande V. Nand M, et al. Bioinformation. 2016 Oct 10;12(6):311-317. doi: 10.6026/97320630012311. eCollection 2016. Bioinformation. 2016. PMID: 28293073 Free PMC article.

3

Identification of potential Mycolyltransferase Ag85C inhibitors of Mycobacterium tuberculosis H37Rv via Virtual High Throughput Screening and Binding free energy studies.

Pant R, Joshi A, Maiti P, Nand M, Pande V, Chandra S. Pant R, et al. Among authors: nand m. J Mol Graph Model. 2020 Jul;98:107584. doi: 10.1016/j.jmgm.2020.107584. Epub 2020 Mar 12. J Mol Graph Model. 2020. PMID: 32200279

4

Identification of luteolin -7-glucoside and epicatechin gallate from Vernoniacinerea, as novel EGFR L858R kinase inhibitors against lung cancer: Docking and simulation-based study.

Maiti P, Nand M, Joshi T, Ramakrishnan MA, Chandra S. Maiti P, et al. Among authors: nand m. J Biomol Struct Dyn. 2021 Sep;39(14):5048-5057. doi: 10.1080/07391102.2020.1784791. Epub 2020 Jun 24. J Biomol Struct Dyn. 2021. PMID: 32579072

5

Virtual screening of anti-HIV1 compounds against SARS-CoV-2: machine learning modeling, chemoinformatics and molecular dynamics simulation based analysis.

Nand M, Maiti P, Joshi T, Chandra S, Pande V, Kuniyal JC, Ramakrishnan MA. Nand M, et al. Sci Rep. 2020 Nov 23;10(1):20397. doi: 10.1038/s41598-020-77524-x. Sci Rep. 2020. PMID: 33230180 Free PMC article.

6

Identification of potent Antigen 85C inhibitors of Mycobacterium tuberculosis via in-house lichen library and binding free energy studies Part-II.

Pant R, Joshi A, Joshi T, Maiti P, Nand M, Joshi T, Pande V, Chandra S. Pant R, et al. Among authors: nand m. J Mol Graph Model. 2021 Mar;103:107822. doi: 10.1016/j.jmgm.2020.107822. Epub 2020 Dec 8. J Mol Graph Model. 2021. PMID: 33333421

7

Antimicrobial activity of methanolic extracts of Vernonia cinerea against Xanthomonas oryzae and identification of their compounds using in silico techniques.

Joshi T, Pandey SC, Maiti P, Tripathi M, Paliwal A, Nand M, Sharma P, Samant M, Pande V, Chandra S. Joshi T, et al. Among authors: nand m. PLoS One. 2021 Jun 14;16(6):e0252759. doi: 10.1371/journal.pone.0252759. eCollection 2021. PLoS One. 2021. PMID: 34125862 Free PMC article.

8

Computational investigation of drug bank compounds against 3C-like protease (3CL^pro) of SARS-CoV-2 using deep learning and molecular dynamics simulation.

Joshi T, Sharma P, Mathpal S, Joshi T, Maiti P, Nand M, Pande V, Chandra S. Joshi T, et al. Among authors: nand m. Mol Divers. 2022 Aug;26(4):2243-2256. doi: 10.1007/s11030-021-10330-3. Epub 2021 Oct 12. Mol Divers. 2022. PMID: 34637068 Free PMC article.

9

Integrated Machine Learning and Chemoinformatics-Based Screening of Mycotic Compounds against Kinesin Spindle ProteinEg5 for Lung Cancer Therapy.

Maiti P, Sharma P, Nand M, Bhatt ID, Ramakrishnan MA, Mathpal S, Joshi T, Pant R, Mahmud S, Simal-Gandara J, Alshehri S, Ghoneim MM, Alruwaily M, Awadh AAA, Alshahrani MM, Chandra S. Maiti P, et al. Among authors: nand m. Molecules. 2022 Mar 2;27(5):1639. doi: 10.3390/molecules27051639. Molecules. 2022. PMID: 35268740 Free PMC article.

10

Potent multi-target natural inhibitors against SARS-CoV-2 from medicinal plants of the Himalaya: a discovery from hybrid machine learning, chemoinformatics, and simulation assisted screening.

Maiti P, Nand M, Mathpal S, Wahab S, Kuniyal JC, Sharma P, Joshi T, Ramakrishnan MA, Chandra S. Maiti P, et al. Among authors: nand m. J Biomol Struct Dyn. 2024;42(20):10551-10564. doi: 10.1080/07391102.2023.2257333. Epub 2023 Sep 21. J Biomol Struct Dyn. 2024. PMID: 37732349

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