Dina Schneidman

About Dina Schneidman

Dina Schneidman, With an exceptional h-index of 46 and a recent h-index of 37 (since 2020), a distinguished researcher at Hebrew University of Jerusalem, specializes in the field of Computational Structural Biology, Geometric Deep Learning, Integrative Structure Modeling, Small Angle X-ray Scattering, SAXS.

His recent articles reflect a diverse array of research interests and contributions to the field:

Identification of thrombosis-related conformational binding epitopes on domain I of β2-glycoprotein I

CombFold: predicting structures of large protein assemblies using a combinatorial assembly algorithm and AlphaFold2

The Cdc48 N-terminal domain has a molecular switch that mediates the Npl4-Ufd1-Cdc48 complex formation

The Interactome of DUX4 Reveals Multiple Activation Pathways

Impact of AlphaFold on structure prediction of protein complexes: the CASP15‐CAPRI experiment

Multi-state modeling of antibody-antigen complexes with SAXS profiles and deep-learning models

Epitope-specific antibody design using diffusion models on the latent space of ESM embeddings

A deep learning model for predicting optimal distance range in crosslinking mass spectrometry data

Dina Schneidman Information

University

Position

Israel

Citations(all)

14251

Citations(since 2020)

7350

Cited By

9841

hIndex(all)

46

hIndex(since 2020)

37

i10Index(all)

75

i10Index(since 2020)

65

Email

University Profile Page

Google Scholar

Dina Schneidman Skills & Research Interests

Computational Structural Biology

Geometric Deep Learning

Integrative Structure Modeling

Small Angle X-ray Scattering

SAXS

Top articles of Dina Schneidman

Title

Journal

Author(s)

Publication Date

Identification of thrombosis-related conformational binding epitopes on domain I of β2-glycoprotein I

Thrombosis research

Seung Joong Kim

Dina Schneidman-Duhovny

Philip G de Groot

Rolf T Urbanus

Lester Carter

...

2024/5/1

CombFold: predicting structures of large protein assemblies using a combinatorial assembly algorithm and AlphaFold2

Nature Methods

Ben Shor

Dina Schneidman-Duhovny

2024/2/7

The Cdc48 N-terminal domain has a molecular switch that mediates the Npl4-Ufd1-Cdc48 complex formation

Structure

Tal Oppenheim

Meytal Radzinski

Merav Braitbard

Esther S Brielle

Ohad Yogev

...

2023/7/6

The Interactome of DUX4 Reveals Multiple Activation Pathways

bioRxiv

Moriya Slavin

Keren Zohar

Clothilde Claus

Dina Schneidman-Duhovny

Michal Linial

...

2023

Impact of AlphaFold on structure prediction of protein complexes: the CASP15‐CAPRI experiment

Proteins: Structure, Function, and Bioinformatics

Marc F Lensink

Guillaume Brysbaert

Nessim Raouraoua

Paul A Bates

Marco Giulini

...

2023/12

Multi-state modeling of antibody-antigen complexes with SAXS profiles and deep-learning models

Tomer Cohen

Matan Halfon

Lester Carter

Beth Sharkey

Tushar Jain

...

2023/1/1

Epitope-specific antibody design using diffusion models on the latent space of ESM embeddings

Tomer Cohen

Dina Schneidman-Duhovny

2023/10/27

A deep learning model for predicting optimal distance range in crosslinking mass spectrometry data

Proteomics

Shon Cohen

Dina Schneidman‐Duhovny

2023/9

NanoNet: Rapid and accurate end-to-end nanobody modeling by deep learning

Frontiers in immunology

Tomer Cohen

Matan Halfon

Dina Schneidman-Duhovny

2022/8/12

Superimmunity by pan-sarbecovirus nanobodies

Cell Reports

Yufei Xiang

Wei Huang

Hejun Liu

Zhe Sang

Sham Nambulli

...

2022/6/28

ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction

Nature Methods

Jérôme Tubiana

Dina Schneidman-Duhovny

Haim J Wolfson

2022/6

Structure modeling and specificity of peptide-MHC class I interactions using geometric deep learning

bioRxiv

Alon Aronson

Tanya Hochner

Tomer Cohen

Dina Schneidman-Duhovny

2022/12/19

Integrative structure determination reveals functional global flexibility for an ultra-multimodular arabinanase

Communications biology

Shifra Lansky

Rachel Salama

Xevi Biarnés

Omer Shwartstein

Dina Schneidman-Duhovny

...

2022/5/16

Reduced B cell antigenicity of Omicron lowers host serologic response

Cell reports

Jérôme Tubiana

Yufei Xiang

Li Fan

Haim J Wolfson

Kong Chen

...

2022/10/18

ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactions

NeurIPS Workshop on Machine Learning for Structural Biology

Matan Halfon

Tomer Cohen

Raanan Fattal

Dina Schneidman-Duhovny

2022

Scannet: A web server for structure-based prediction of protein binding sites with geometric deep learning

Journal of Molecular Biology

Jérôme Tubiana

Dina Schneidman-Duhovny

Haim J Wolfson

2022/10/15

Cryo-EM structures of engineered active bc1-cbb3 type CIII2CIV super-complexes and electronic communication between the complexes

Nature communications

Stefan Steimle

Trevor van Eeuwen

Yavuz Ozturk

Hee Jong Kim

Merav Braitbard

...

2021/2/10

Structural basis for Mis18 complex assembly: implications for centromere maintenance

bioRxiv

Reshma Thamkachy

Bethan Medina-Pritchard

Sang Ho Park

Carla G Chiodi

Juan Zou

...

2021/11/8

A resource of high-quality and versatile nanobodies for drug delivery

IScience

Zhuolun Shen

Yufei Xiang

Sandra Vergara

Apeng Chen

Zhengyun Xiao

...

2021/9/24

Targeted in situ cross-linking mass spectrometry and integrative modeling reveal the architectures of three proteins from SARS-CoV-2

Proceedings of the National Academy of Sciences

Moriya Slavin

Joanna Zamel

Keren Zohar

Tsiona Eliyahu

Merav Braitbard

...

2021/8/24

See List of Professors in Dina Schneidman University(Hebrew University of Jerusalem)

Co-Authors

academic-engine