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Page 1
Review of in silico studies dedicated to the nuclear receptor family: Therapeutic prospects and toxicological concerns.
Front Endocrinol (Lausanne). 2022 Sep 13;13:986016. doi: 10.3389/fendo.2022.986016. eCollection 2022.
Front Endocrinol (Lausanne). 2022.
PMID: 36176461
Free PMC article.
Review.
Machine learning for mHealth apps quality evaluation: An approach based on user feedback analysis.
Haoues M, Mokni R, Sellami A.
Haoues M, et al. Among authors: sellami a.
Softw Qual J. 2023 May 23:1-31. doi: 10.1007/s11219-023-09630-8. Online ahead of print.
Softw Qual J. 2023.
PMID: 38625157
Free PMC article.
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Predicting Potential Endocrine Disrupting Chemicals Binding to Estrogen Receptor α (ERα) Using a Pipeline Combining Structure-Based and Ligand-Based in Silico Methods.
Sellami A, Montes M, Lagarde N.
Sellami A, et al.
Int J Mol Sci. 2021 Mar 11;22(6):2846. doi: 10.3390/ijms22062846.
Int J Mol Sci. 2021.
PMID: 33799614
Free PMC article.
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