“Papers of School of Biological Sciences”


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  1. H. Latifi-Navid, Z. S. Soheili, S. Samiei, M. Sadeghi, S. Taghizadeh, E. Ranaei Pirmardan and E. Ahmadieh,
Network analysis and the impact of Aflibercept on specific mediators of angiogenesis in HUVEC cells,
Journal of Cellular and Molecular Medicine (2021),   [abstract]

DOI: https://doi.org/10.1111/jcmm.16778

   2. A. Shahir Sadr, Z. Abdollahpour, A. Aliahmadi, C. Eslahchi, M. Nekouei, L. Kiaei, M. Kiaei and A. Ghassempour,
Detection of structural and conformational changes in ALS-causing mutant profilin-1 with hydrogen/deuterium exchange mass spectrometry and bioinformatics techniques,
Metabolic Brain Disease (2021),   [abstract]
DOI: https://doi.org/10.1007/s11011-021-00763-y

   3. R. Masumshah, R. Aghdam and C. Eslahchi,
A neural network‑based method for polypharmacy side efects prediction,
BMC Bioinformatics 22(2021),   [abstract]
DOI: https://doi.org/10.1186/s12859-021-04298-y

   4. A. Shahir Sadr, C. Eslahchi, A. Ghassempour and M. Kiaei,
In silico studies reveal structural deviations of mutant profilin-1 and interaction with riluzole and edaravone in amyotrophic lateral sclerosis,
Scientific Reports 11(2021), 1-14  [abstract]
DOI: https://doi.org/10.1038/s41598-021-86211-4

   5. F. Ahmadi Moughari and C. Eslahchi,
A computational method for drug sensitivity prediction of cancer cell lines based on various molecular information,
Plos One 16(2021),   [abstract]
DOI: https://doi.org/10.1371/journal.pone.0250620

   6. F. Yassayee and C. Eslahchi,
Predicting Anti-Cancer Drug Response by Finding Optimal Subset of Drugs,
Bioinformatics  (to appear) [abstract]

   7. S. Vafadar, M. Shahdoust, A. Kalirad, P. Zakeri and M. Sadeghi,
Competitive exclusion during co-infection as a strategy to prevent the spread of a virus: A computational perspective,
Plos One (2021),   [abstract]
DOI: https://doi.org/10.1371/journal.pone.0247200

   8. M. Habibi, G. Taheri and R. Aghdam,
A SARS-CoV-2 (COVID-19) biological network to find targets for drug repurposing,
Scientific Reports 11(2021), 1-15  [abstract]
DOI: https://doi.org/10.1038/s41598-021-88427-w

   9. A. R. Alizad-Rahvar, S. Vafadar, M. Totonchi and M. Sadeghi,
False Negative Mitigation in Group Testing for COVID-19 Screening,
frontiers in medicine 8(2021), 579  [abstract]
DOI: 10.3389/fmed.2021.661277

   10. N. Rohani and C. Eslahchi,
Classifying Breast Cancer Molecular Subtypes using Deep Clustering Approach,
Frontiers in Genetics  (to appear) [abstract]
DOI: 10.21203/rs.2.19530/v1

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