2026 Roland L. Dunbrack: Molecular Biology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Molecular Biology	71	1339	1192	680	592	196	45587

Overview

Roland L. Dunbrack is affiliated with the Fox Chase Cancer Center in the United States. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology, with a focus on Molecular Biology, Materials Chemistry, Oncology, Immunology, and Genetics as notable subfields.

The scholar's work covers multiple key topics, including:

Protein Structure and Dynamics
Enzyme Structure and Function
RNA and protein synthesis mechanisms
Ubiquitin and proteasome pathways
Monoclonal and Polyclonal Antibodies Research
Protein Kinase Regulation and GTPase Signaling
Bioinformatics and Genomic Networks

Recent publications reflect a focus on structural biology and computational modeling. Notable papers include:

"Macromolecular modeling and design in Rosetta: recent methods and frameworks," 2020, Nature Methods
"Kincore: a web resource for structural classification of protein kinases and their inhibitors," 2021, Nucleic Acids Research
"PDBe-KB: collaboratively defining the biological context of structural data," 2021, Nucleic Acids Research
"ProtCID: a data resource for structural information on protein interactions," 2020, Nature Communications
"CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods," 2024, Genome Biology

The scientist frequently collaborates with other researchers in their field, including:

Bulat Faezov
Jared Adolf-Bryfogle
Jeffrey J. Gray
Brian Kuhlman
Jason W. Labonte

Publication venues with frequent contributions include:

bioRxiv (Cold Spring Harbor Laboratory)
OPAL (Open@LaTrobe) (La Trobe University)
Zenodo (CERN European Organization for Nuclear Research)
Nucleic Acids Research
Nature Communications

The research output of Roland L. Dunbrack is extensively connected to protein science, structural classification, and computational biology, making contributions that span experimental and data-driven approaches within molecular life sciences.

Best Publications

All-atom empirical potential for molecular modeling and dynamics studies of proteins.

A. D. MacKerell;D. Bashford;M. Bellott;R. L. Dunbrack

16475
Citations
PISCES: a protein sequence culling server

Guoli Wang;Roland L. Dunbrack

1963
Citations
Improved prediction of protein side-chain conformations with SCWRL4.

Georgii G. Krivov;Maxim V. Shapovalov;Roland L. Dunbrack

1467
Citations
A graph-theory algorithm for rapid protein side-chain prediction

Adrian A. Canutescu;Andrew A. Shelenkov;Roland L. Dunbrack

1313
Citations
The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design.

Rebecca F. Alford;Andrew Leaver-Fay;Jeliazko R. Jeliazkov;Matthew J. O’Meara

1306
Citations
PONDR-FIT: a meta-predictor of intrinsically disordered amino acids.

Bin Xue;Roland L. Dunbrack;Robert W. Williams;A. Keith Dunker

1289
Citations
Backbone-dependent Rotamer Library for Proteins Application to Side-chain Prediction

Roland L. Dunbrack;Martin Karplus

1219
Citations
Bayesian statistical analysis of protein side-chain rotamer preferences

Roland L. Dunbrack;Fred E. Cohen

1042
Citations
A smoothed backbone-dependent rotamer library for proteins derived from adaptive kernel density estimates and regressions

Maxim V. Shapovalov;Roland L. Dunbrack

995
Citations
Macromolecular modeling and design in Rosetta: recent methods and frameworks

Julia Koehler Leman;Brian D. Weitzner;Brian D. Weitzner;Steven M. Lewis;Steven M. Lewis;Jared Adolf-Bryfogle

847
Citations
Rotamer libraries in the 21st century.

Roland L Dunbrack

841
Citations
Formation of MacroH2A-Containing Senescence-Associated Heterochromatin Foci and Senescence Driven by ASF1a and HIRA

Rugang Zhang;Maxim V. Poustovoitov;Maxim V. Poustovoitov;Xiaofen Ye;Hidelita A. Santos

787
Citations
PREDICTION OF PROTEIN SIDE-CHAIN ROTAMERS FROM A BACKBONE-DEPENDENT ROTAMER LIBRARY : A NEW HOMOLOGY MODELING TOOL

Michael J. Bower;Fred E. Cohen;Roland L. Dunbrack

716
Citations
Cyclic coordinate descent: A robotics algorithm for protein loop closure.

Adrian A. Canutescu;Roland L. Dunbrack

645
Citations
Aurora A kinase (AURKA) in normal and pathological cell division.

Anna S. Nikonova;Igor Astsaturov;Ilya G. Serebriiskii;Roland L. Dunbrack

520
Citations
Defects in DNA Repair Genes Predict Response to Neoadjuvant Cisplatin-based Chemotherapy in Muscle-invasive Bladder Cancer

Elizabeth R. Plimack;Roland L. Dunbrack;Timothy A. Brennan;Mark D. Andrake

480
Citations
Conformational analysis of the backbone-dependent rotamer preferences of protein sidechains.

Roland L. Dunbrack;Martin Karplus

458
Citations
A new clustering of antibody CDR loop conformations

Benjamin North;Andreas Lehmann;Roland L. Dunbrack

423
Citations
PISCES: recent improvements to a PDB sequence culling server.

Guoli Wang;Roland L. Dunbrack

404
Citations
Large-scale comparison of protein sequence alignment algorithms with structure alignments.

J. Michael Sauder;Jonathan W. Arthur;Roland L. Dunbrack

348
Citations

Frequent Co-Authors

William R. Schief Scripps Research Institute

Jeffrey J. Gray Johns Hopkins University

Brian Kuhlman University of North Carolina at Chapel Hill

Erica A. Golemis Fox Chase Cancer Center

Tanja Kortemme University of California, San Francisco

David Baker University of Washington

Richard Bonneau New York University

Jens Meiler Vanderbilt University

Rhiju Das Stanford University

David T. Jones University College London

External Links

Personal website of Roland L. Dunbrack

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