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Yaron Orenstein

Associate Professor

Bar Ilan University

Israel

Research Interests

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Professors in Biochemistry

Articles (21)

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2026

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2022

Collaborators (4)

Ron Shamir

Tel Aviv University

ISRAEL

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Evette Radisky

Professor

Mayo Clinic Florida

UNITED STATES

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Ayal Hendel

Bar Ilan University

ISRAEL

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Maciej Antczak

Deputy Director of Organizational Affairs

Politechnika Gdanska

POLAND

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Yaron Orenstein

Research Interests

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Articles (21)

Modifying inhibitor specificity for homologous enzymes by machine learning

10-Minimizers

EpiCRISPR

ExoShorkie: predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning

Engineering selective amyloid precursor protein inhibitors by machine learning and deep mutational scanning

CROP: a feature-independent context-aware method for CRISPR-Cas9 frameshift prediction

NPBIP: predicting binding preferences of uncharacterized nucleic-acid-binding proteins

Machine‐learning prediction of affinity and epistasis in the bovine pancreatic trypsin inhibitor–chymotrypsin complex

iMotifPredictor: i-motif prediction by multi-data integration

EpiCRISPR: Improving CRISPR/Cas9 on- and off-target prediction by flanking sequences, epigenetic marks, and high-throughput datasets

Evaluation of novel computational methods to identify RNA-binding protein footprints from structural data

GreedyMini: generating low-density DNA minimizers

Mapping the sclerostin–LRP4 binding interface identifies critical interaction hotspots in loops 1 and 3 of sclerostin

An overview on nucleic-acid G-quadruplex prediction: from rule-based methods to deep neural networks

Efficient minimizer orders for large values ofkusing minimum decycling sets

G4mismatch: Deep neural networks to predict G-quadruplex propensity based on G4-seq data

rG4detector, a novel RNA G-quadruplex predictor, uncovers their impact on stress granule formation

DeepZF: improved DNA-binding prediction of C2H2-zinc-finger proteins by deep transfer learning

G4detector: Convolutional Neural Network to Predict DNA G-Quadruplexes

Retracted: DeepCRISTL: deep transfer learning to predict CRISPR/Cas9 functional and endogenous on-target editing efficiency

Computational modeling of mRNA degradation dynamics using deep neural networks

Collaborators (4)

Ron Shamir

Evette Radisky

Ayal Hendel

Maciej Antczak

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