Sehgal SA - Search Results

1

Comprehensive in silico analyses of flavonoids elucidating the drug properties against kidney disease by targeting AIM2.

Kandeel M, Iqbal MN, Ali I, Malik S, Malik A, Sehgal SA. Kandeel M, et al. Among authors: sehgal sa. PLoS One. 2023 May 18;18(5):e0285965. doi: 10.1371/journal.pone.0285965. eCollection 2023. PLoS One. 2023. PMID: 37200367 Free PMC article.

2

In silico elucidation of potential drug targets against oxygenase domain of Human eNOS Dysfunction.

Malik A, Iqbal MN, Ashraf S, Khan MS, Shahzadi S, Shafique MF, Sajid Z, Sajid M, Sehgal SA. Malik A, et al. Among authors: sehgal sa. PLoS One. 2023 Apr 26;18(4):e0284993. doi: 10.1371/journal.pone.0284993. eCollection 2023. PLoS One. 2023. PMID: 37099543 Free PMC article.

3

Adaptive evolution and elucidating the potential inhibitor against schizophrenia to target DAOA (G72) isoforms.

Sehgal SA, Mannan S, Kanwal S, Naveed I, Mir A. Sehgal SA, et al. Drug Des Devel Ther. 2015 Jul 3;9:3471-80. doi: 10.2147/DDDT.S63946. eCollection 2015. Drug Des Devel Ther. 2015. PMID: 26170631 Free PMC article.

4

Comparative in silico analyses of Cannabis sativa, Prunella vulgaris and Withania somnifera compounds elucidating the medicinal properties against rheumatoid arthritis.

Zaka M, Sehgal SA, Shafique S, Abbasi BH. Zaka M, et al. Among authors: sehgal sa. J Mol Graph Model. 2017 Jun;74:296-304. doi: 10.1016/j.jmgm.2017.04.013. Epub 2017 Apr 19. J Mol Graph Model. 2017. PMID: 28472734

5

In Silico identification of angiotensin-converting enzyme inhibitory peptides from MRJP1.

Tahir RA, Bashir A, Yousaf MN, Ahmed A, Dali Y, Khan S, Sehgal SA. Tahir RA, et al. Among authors: sehgal sa. PLoS One. 2020 Feb 3;15(2):e0228265. doi: 10.1371/journal.pone.0228265. eCollection 2020. PLoS One. 2020. PMID: 32012183 Free PMC article.

6

The Life Cycle and in silico Elucidation of Non-structural Replicating Proteins of HCV Through a Pharmacoinformatics Approach.

Tahir RA, Mughal S, Nazir A, Noureen A, Jawad A, Waqas M, Sehgal SA. Tahir RA, et al. Among authors: sehgal sa. Comb Chem High Throughput Screen. 2022;25(4):689-701. doi: 10.2174/1386207324666210217144306. Comb Chem High Throughput Screen. 2022. PMID: 33596796

7

Pharmacoinformatics elucidation of potential drug targets against migraine to target ion channel protein KCNK18.

Sehgal SA, Hassan M, Rashid S. Sehgal SA, et al. Drug Des Devel Ther. 2014 May 21;8:571-81. doi: 10.2147/DDDT.S63096. eCollection 2014. Drug Des Devel Ther. 2014. PMID: 24899801 Free PMC article.

8

Pharmacoinformatic and molecular docking studies reveal potential novel antidepressants against neurodegenerative disorders by targeting HSPB8.

Sehgal SA, Mannan S, Ali S. Sehgal SA, et al. Drug Des Devel Ther. 2016 May 6;10:1605-18. doi: 10.2147/DDDT.S101929. eCollection 2016. Drug Des Devel Ther. 2016. PMID: 27226709 Free PMC article.

9

Current Therapeutic Molecules and Targets in Neurodegenerative Diseases Based on in silico Drug Design.

Sehgal SA, Hammad MA, Tahir RA, Akram HN, Ahmad F. Sehgal SA, et al. Curr Neuropharmacol. 2018;16(6):649-663. doi: 10.2174/1570159X16666180315142137. Curr Neuropharmacol. 2018. PMID: 29542412 Free PMC article. Review.

10

Pharmacoinformatics and molecular docking reveal potential drug candidates against Schizophrenia to target TAAR6.

Tahir RA, Wu H, Javed N, Khalique A, Khan SAF, Mir A, Ahmed MS, Barreto GE, Qing H, Ashraf GM, Sehgal SA. Tahir RA, et al. Among authors: sehgal sa. J Cell Physiol. 2019 Aug;234(8):13263-13276. doi: 10.1002/jcp.27999. Epub 2018 Dec 19. J Cell Physiol. 2019. PMID: 30569503

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