Author

Azadeh Alavi

Baker Heart and Diabetes InstituteORCID 0000-0002-9565-217XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

David Benjamin AscheriD· 3 shared Douglas E. V. PiresiD· 2 shared Alex G. C. de SáiD· 1 shared Carlos H. M. RodriguesiD· 1 shared Elston N. D’SouzaiD· 1 shared Korawich UthayopasiD· 1 shared Michael A. SilkiD· 1 shared Moshe OlshanskyiD· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBioinformatics

David Benjamin AscherORCID

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3 papers

Recent·Most cited

PRIMITI: a computational approach for accurate prediction of miRNA-target mRNA interaction

Korawich Uthayopas, Alex G. C. de Sá, Azadeh Alavi, Douglas E. V. Pires, David Benjamin Ascher

PRIMITI predicts miRNA-target mRNA interactions using machine learning with CLIP-seq and expression data, achieving high AUC scores and outperforming existing methods.

Computational and Structural Biotechnology Journal · Jun 26, 2024Peer-reviewedBioinformatics

DHS-Crystallize: Deep-Hybrid-Sequence based method for predicting protein Crystallization

Azadeh Alavi, David Benjamin Ascher

DHS-Crystallize predicts protein crystallization using a hybrid sequence-based method combining deep learning and physicochemical features, outperforming existing approaches.

bioRxiv · Nov 13, 2020 · PreprintBioinformatics

COVID-3D: An online resource to explore the structural distribution of genetic variation in SARS-CoV-2 and its implication on therapeutic development

Stephanie Portelli, Moshe Olshansky, Carlos H. M. Rodrigues, Elston N. D’Souza, Yoochan Myung, Michael A. Silk, Azadeh Alavi, Douglas E. V. Pires, David Benjamin Ascher

The paper presents a web resource, COVID-3D, that visualizes SARS-CoV-2 genetic variation in 3D structures to aid in understanding its impact on infection, immunity, and drug development.

bioRxiv · May 29, 2020 · PreprintBioinformatics