Gharaghani S[au] - Search Results

Year	Number of Results
2005	1
2007	1
2011	1
2012	1
2013	1
2015	1
2016	5
2017	6
2018	8
2019	2
2020	3
2021	10
2022	4

1

AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders.

Sajadi SZ, Zare Chahooki MA, Gharaghani S, Abbasi K. Sajadi SZ, et al. Among authors: gharaghani s. BMC Bioinformatics. 2021 Apr 20;22(1):204. doi: 10.1186/s12859-021-04127-2. BMC Bioinformatics. 2021. PMID: 33879050 Free PMC article.

2

Design of potential anti-tumor PARP-1 inhibitors by QSAR and molecular modeling studies.

Abbasi-Radmoghaddam Z, Riahi S, Gharaghani S, Mohammadi-Khanaposhtanai M. Abbasi-Radmoghaddam Z, et al. Among authors: gharaghani s. Mol Divers. 2021 Feb;25(1):263-277. doi: 10.1007/s11030-020-10063-9. Epub 2020 Mar 5. Mol Divers. 2021. PMID: 32140890

3

Moonlighting protein prediction using physico-chemical and evolutional properties via machine learning methods.

Shirafkan F, Gharaghani S, Rahimian K, Sajedi RH, Zahiri J. Shirafkan F, et al. Among authors: gharaghani s. BMC Bioinformatics. 2021 May 24;22(1):261. doi: 10.1186/s12859-021-04194-5. BMC Bioinformatics. 2021. PMID: 34030624 Free PMC article.

4

Novel and Predictive QSAR Model for Steroidal and Nonsteroidal 5α- Reductase Type II Inhibitors.

Mando H, Hassan A, Gharaghani S. Mando H, et al. Among authors: gharaghani s. Curr Drug Discov Technol. 2021;18(2):317-332. doi: 10.2174/1570163817666200324170457. Curr Drug Discov Technol. 2021. PMID: 32208118

5

Correction to: Moonlighting protein prediction using physico‑chemical and evolutional properties via machine learning methods.

Shirafkan F, Gharaghani S, Rahimian K, Sajedi RH, Zahiri J. Shirafkan F, et al. Among authors: gharaghani s. BMC Bioinformatics. 2021 Jul 9;22(1):366. doi: 10.1186/s12859-021-04257-7. BMC Bioinformatics. 2021. PMID: 34243708 Free PMC article. No abstract available.

6

Inhibition of GSK_3β by Iridoid Glycosides of Snowberry (Symphoricarpos albus) Effective in the Treatment of Alzheimer's Disease Using Computational Drug Design Methods.

Eskandarzadeh M, Kordestani-Moghadam P, Pourmand S, Khalili Fard J, Almassian B, Gharaghani S. Eskandarzadeh M, et al. Among authors: gharaghani s. Front Chem. 2021 Oct 7;9:709932. doi: 10.3389/fchem.2021.709932. eCollection 2021. Front Chem. 2021. PMID: 34692636 Free PMC article.

7

Spectrophotometric determination of synthetic colorants using PSO-GA-ANN.

Benvidi A, Abbasi S, Gharaghani S, Dehghan Tezerjani M, Masoum S. Benvidi A, et al. Among authors: gharaghani s. Food Chem. 2017 Apr 1;220:377-384. doi: 10.1016/j.foodchem.2016.10.010. Epub 2016 Oct 4. Food Chem. 2017. PMID: 27855914

8

In Silico Drug-designing Studies on Sulforaphane Analogues: Pharmacophore Mapping, Molecular Docking and QSAR Modeling.

Vaghefinezhad N, Farsani SF, Gharaghani S. Vaghefinezhad N, et al. Among authors: gharaghani s. Curr Drug Discov Technol. 2021;18(1):139-157. doi: 10.2174/1570163816666191112122047. Curr Drug Discov Technol. 2021. PMID: 31721705

9

Structural systems pharmacology: A framework for integrating metabolic network and structure-based virtual screening for drug discovery against bacteria.

Nazarshodeh E, Marashi SA, Gharaghani S. Nazarshodeh E, et al. Among authors: gharaghani s. PLoS One. 2021 Dec 14;16(12):e0261267. doi: 10.1371/journal.pone.0261267. eCollection 2021. PLoS One. 2021. PMID: 34905555 Free PMC article.

10

A simple and robust model to predict the inhibitory activity of α-glucosidase inhibitors through combined QSAR modeling and molecular docking techniques.

Izadpanah E, Riahi S, Abbasi-Radmoghaddam Z, Gharaghani S, Mohammadi-Khanaposhtanai M. Izadpanah E, et al. Among authors: gharaghani s. Mol Divers. 2021 Aug;25(3):1811-1825. doi: 10.1007/s11030-020-10164-5. Epub 2021 Feb 9. Mol Divers. 2021. PMID: 33565001

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