Author

Zoltán N. Oltvai

University of PittsburghORCID 0000-0001-7997-397XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

İvet BahariD· 2 shared Alan H. WellsiD· 1 shared Bing LiuiD· 1 shared Colin H. BeckwittiD· 1 shared Daniel Peñaherrera· 1 shared David H. PerlmutteriD· 1 shared Gary A. SilvermaniD· 1 shared Hülya BayıriD· 1 shared

Activity by Year

2017-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

İvet BaharORCID

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3 papers

Recent·Most cited

Rhapsody: Pathogenicity prediction of human missense variants based on protein sequence, structure and dynamics

Luca Ponzoni, Daniel Peñaherrera, Zoltán N. Oltvai, İvet Bahar

The paper introduces Rhapsody, a tool that predicts the pathogenicity of human missense variants by integrating sequence, structure, and dynamics data, outperforming existing methods.

Bioinformatics · Feb 21, 2020Peer-reviewedBioinformatics

Quantitative Assessment Of Cell Fate Decision Between Autophagy And Apoptosis

Bing Liu, Zoltán N. Oltvai, Hülya Bayır, Gary A. Silverman, Stephen C. Pak, David H. Perlmutter, İvet Bahar

This paper builds a computational model to study how cells decide between autophagy and apoptosis under stress, revealing that cytoplasmic Ca2+ acts as a rheostat regulated by G-protein signaling and AMPK.

Scientific Reports · Dec 8, 2017Peer-reviewedSystems Biology

Biomarker identification for statin sensitivity of cancer cell lines

Vineet K. Raghu, Colin H. Beckwitt, Katsuhiko Warita, Alan H. Wells, Panayiotis V. Benos, Zoltán N. Oltvai

The paper identifies a gene expression signature for statin sensitivity using transcriptome data from cancer cell lines and validates it experimentally, extending it to TCGA tumors and predicting synergistic drug combinations.

Biochemical and Biophysical Research Communications · Nov 14, 2017Peer-reviewedBioinformatics