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D-Index
50
Citations
8948
World Ranking
4102
National Ranking
1181

Overview

Andriy Kryshtafovych is affiliated with the University of California, Davis in the United States. Their research primarily focuses on the field of Biochemistry, Genetics and Molecular Biology, encompassing 79 publications. Subfields of study include Molecular Biology, Materials Chemistry, Structural Biology, Computational Theory and Mathematics, and Cell Biology.

The main topics addressed in their work cover a range of areas with significant emphasis on Protein Structure and Dynamics, RNA and protein synthesis mechanisms, Enzyme Structure and Function, RNA modifications and cancer, Machine Learning in Bioinformatics, Advanced Electron Microscopy Techniques and Applications, and Endoplasmic Reticulum Stress and Disease.

Frequently publishing in the journal Proteins Structure Function and Bioinformatics, Andriy Kryshtafovych has contributed to 28 publications in that venue alone. Other common venues for their work include bioRxiv (Cold Spring Harbor Laboratory), Nature Methods, Zenodo (CERN European Organization for Nuclear Research), and Cold Spring Harbor Perspectives in Biology.

Significant recent papers authored by Andriy Kryshtafovych include:

  • Critical assessment of methods of protein structure prediction (CASP)-Round XIV, 2021, Proteins Structure Function and Bioinformatics
  • Critical assessment of methods of protein structure prediction (CASP)-Round XV, 2023, Proteins Structure Function and Bioinformatics
  • New prediction categories in CASP15, 2023, Proteins Structure Function and Bioinformatics

Their collaboration network includes frequent co-authorship with John Moult, Krzysztof Fidelis, Wah Chiu, Maya Topf, and Rachael C. Kretsch.

Andriy Kryshtafovych's work spans both experimental and computational approaches to understanding biological macromolecules, with particular attention to protein structure prediction and validation. The research often intersects with advanced microscopy techniques and the application of machine learning in bioinformatics.

Best Publications

  • Critical assessment of methods of protein structure prediction (CASP)-Round XIII

    Andriy Kryshtafovych;Torsten Schwede;Maya Topf;Krzysztof Fidelis

  • Critical assessment of methods of protein structure prediction (CASP)-Round XIV.

    Andriy Kryshtafovych;Torsten Schwede;Maya Topf;Krzysztof Fidelis

  • Critical assessment of methods of protein structure prediction-Round VII.

    John Moult;Krzysztof Fidelis;Andriy Kryshtafovych;Burkhard Rost

  • Critical assessment of methods of protein structure prediction: Progress and new directions in round XI

    John Moult;Krzysztof Fidelis;Andriy Kryshtafovych;Torsten Schwede

  • Assessment of protein disorder region predictions in CASP10.

    Bohdan Monastyrskyy;Andriy Kryshtafovych;John Moult;Anna Tramontano

  • Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling: A CASP-CAPRI experiment.

    Marc F. Lensink;Sameer Velankar;Andriy Kryshtafovych;Shen You Huang

  • Outcome of a Workshop on Applications of Protein Models in Biomedical Research

    Torsten Schwede;Andrej Sali;Barry Honig;Michael Levitt

  • Evaluation of disorder predictions in CASP9

    Bohdan Monastyrskyy;Krzysztof Fidelis;John Moult;Anna Tramontano

  • CASP prediction center infrastructure and evaluation measures in CASP10 and CASP ROLL.

    Andriy Kryshtafovych;Bohdan Monastyrskyy;Krzysztof Fidelis

  • Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge

    Catherine L. Lawson;Andriy Kryshtafovych;Paul D. Adams;Pavel V. Afonine

  • Assessment of hard target modeling in CASP12 reveals an emerging role of alignment-based contact prediction methods.

    Luciano A. Abriata;Luciano A. Abriata;Giorgio E. Tamò;Giorgio E. Tamò;Bohdan Monastyrskyy;Andriy Kryshtafovych

  • Progress from CASP6 to CASP7

    Andriy Kryshtafovych;Krzysztof Fidelis;John Moult

  • Evaluation of the template-based modeling in CASP12.

    Andriy Kryshtafovych;Bohdan Monastyrskyy;Krzysztof Fidelis;John Moult

  • New encouraging developments in contact prediction: Assessment of the CASP11 results

    Bohdan Monastyrskyy;Daniel D'Andrea;Krzysztof Fidelis;Anna Tramontano

  • Challenging the State of the Art in Protein Structure Prediction: Highlights of Experimental Target Structures for the 10Th Critical Assessment of Techniques for Protein Structure Prediction Experiment Casp10.

    Andriy Kryshtafovych;John Moult;Patrick Bales;J. Fernando Bazan

  • Assessment of model accuracy estimations in CASP12.

    Andriy Kryshtafovych;Bohdan Monastyrskyy;Krzysztof Fidelis;Torsten Schwede;Torsten Schwede

  • Assessing the accuracy of contact predictions in CASP13.

    Rojan Shrestha;Eduardo Fajardo;Nelson Gil;Krzysztof Fidelis

  • Assessment of protein assembly prediction in CASP12.

    Aleix Lafita;Spencer Bliven;Spencer Bliven;Andriy Kryshtafovych;Martino Bertoni

  • Discovering regulatory binding-site modules using rule-based learning

    Torgeir R. Hvidsten;Bartosz Wilczyński;Andriy Kryshtafovych;Jerzy Tiuryn

  • Using multi-data hidden Markov models trained on local neighborhoods of protein structure to predict residue–residue contacts

    Patrik Björkholm;Pawel Daniluk;Andriy Kryshtafovych;Krzysztof Fidelis

  • CASP11 statistics and the prediction center evaluation system.

    Andriy Kryshtafovych;Bohdan Monastyrskyy;Krzysztof Fidelis

  • Generalized modeling of enzyme–ligand interactions using proteochemometrics and local protein substructures

    Helena Strömbergsson;Andriy Kryshtafovych;Peteris Prusis;Krzysztof Fidelis

  • Comparative analysis of methods for evaluation of protein models against native structures

    Kliment Olechnovič;Bohdan Monastyrskyy;Andriy Kryshtafovych;Česlovas Venclovas

  • Assessment of prediction methods for protein structures determined by NMR in CASP14: Impact of AlphaFold2.

    Yuanpeng Janet Huang;Ning Zhang;Beate Bersch;Krzysztof Fidelis

  • A novel approach to fold recognition using sequence-derived properties from sets of structurally similar local fragments of proteins

    Torgeir R. Hvidsten;Andriy Kryshtafovych;Jan Komorowski;Krzysztof Fidelis

Frequent Co-Authors

John Moult
John Moult University of Maryland, College Park
Torsten Schwede
Torsten Schwede University of Basel
Anna Tramontano
Anna Tramontano Sapienza University of Rome
Wah Chiu
Wah Chiu Stanford University
Andrzej Joachimiak
Andrzej Joachimiak Argonne National Laboratory
Paul D. Adams
Paul D. Adams Lawrence Berkeley National Laboratory
Lisa N. Kinch
Lisa N. Kinch The University of Texas Southwestern Medical Center
Helen M. Berman
Helen M. Berman Rutgers, The State University of New Jersey
Gaetano T. Montelione
Gaetano T. Montelione Rensselaer Polytechnic Institute
Nick V. Grishin
Nick V. Grishin The University of Texas Southwestern Medical Center

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