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Molecular Biology

D-Index
71
Citations
29268
World Ranking
1345
National Ranking
682

Research.com Recognitions

  • 2019 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2005 - Fellow of Alfred P. Sloan Foundation

Overview

Tanja Kortemme is affiliated with the University of California, San Francisco in the United States. Their research primarily focuses on the fields of Biochemistry, Genetics, and Molecular Biology, with significant contributions in Molecular Biology and Materials Chemistry. Their work covers various subfields including Spectroscopy, Computational Theory and Mathematics, and Infectious Diseases.

Their scholarly output includes frequent publications in venues such as bioRxiv (Cold Spring Harbor Laboratory), OPAL (Open@LaTrobe) (La Trobe University), UNC Libraries, PLoS Computational Biology, and Proceedings of the National Academy of Sciences. These platforms host multiple studies contributing to the academic community's understanding of molecular and computational biology.

Kortemme's research engages with main topics including Protein Structure and Dynamics, RNA and protein synthesis mechanisms, Enzyme Structure and Function, Computational Drug Discovery Methods, SARS-CoV-2 and COVID-19 Research, Mass Spectrometry Techniques and Applications, and Receptor Mechanisms and Signaling.

Among their recent papers are:

  • The Global Phosphorylation Landscape of SARS-CoV-2 Infection, 2020, Cell
  • Macromolecular modeling and design in Rosetta: recent methods and frameworks, 2020, Nature Methods
  • A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Engineered ACE2 receptor traps potently neutralize SARS-CoV-2, 2020, Proceedings of the National Academy of Sciences
  • Recent advances in de novo protein design: Principles, methods, and applications, 2021, Journal of Biological Chemistry

Frequently collaborating researchers include Jeffrey J. Gray, Brian Kuhlman, Andrew Leaver-Fay, Sergey Lyskov, and Jason W. Labonte. These partnerships have contributed to a body of work involving protein modeling, molecular dynamics, and computational design.

Kortemme has been recognized with awards such as:

  • Fellow of the Indian National Academy of Engineering (INAE), 2019
  • Fellow of Alfred P. Sloan Foundation, 2005

Best Publications

  • A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.

    David E. Gordon;Gwendolyn M. Jang;Mehdi Bouhaddou;Jiewei Xu

  • ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules.

    Andrew Leaver-Fay;Michael Tyka;Steven M. Lewis;Oliver F. Lange

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

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

  • The Global Phosphorylation Landscape of SARS-CoV-2 Infection.

    Mehdi Bouhaddou;Danish Memon;Bjoern Meyer;Kris M. White

  • A simple physical model for binding energy hot spots in protein-protein complexes.

    Tanja Kortemme;David Baker

  • 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

  • Helix propensities of the amino acids measured in alanine-based peptides without helix-stabilizing side-chain interactions.

    Avijit Chakrabartty;Tanja Kortemme;Robert L. Baldwin

  • Global landscape of HIV-human protein complexes

    Stefanie Jäger;Peter Cimermancic;Peter Cimermancic;Natali Gulbahce;Natali Gulbahce;Jeffrey R. Johnson;Jeffrey R. Johnson;Jeffrey R. Johnson

  • Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms.

    David E. Gordon;Joseph Hiatt;Mehdi Bouhaddou;Veronica V. Rezelj

  • Computational alanine scanning of protein-protein interfaces.

    Tanja Kortemme;David E. Kim;David Baker

  • An orientation-dependent hydrogen bonding potential improves prediction of specificity and structure for proteins and protein-protein complexes.

    Tanja Kortemme;Alexandre V. Morozov;David Baker

  • Ca2+ indicators based on computationally redesigned calmodulin-peptide pairs.

    Amy E. Palmer;Marta Giacomello;Tanja Kortemme;S. Andrew Hires

  • Ionization−Reactivity Relationships for Cysteine Thiols in Polypeptides†

    Grzegorz Bulaj;Tanja Kortemme;David P. Goldenberg

  • Sub-angstrom accuracy in protein loop reconstruction by robotics-inspired conformational sampling

    Daniel J Mandell;Evangelos A Coutsias;Tanja Kortemme;Tanja Kortemme

  • Serverification of molecular modeling applications: the Rosetta Online Server that Includes Everyone (ROSIE).

    Sergey Lyskov;Fang Chieh Chou;Shane Ó Conchúir;Bryan S. Der

  • Design of a 20-Amino Acid, Three-Stranded β-Sheet Protein

    Tanja Kortemme;Marina Ramı́rez-Alvarado;Luis Serrano

  • Aromatic side-chain contribution to far-ultraviolet circular dichroism of helical peptides and its effect on measurement of helix propensities.

    Avijit Chakrabartty;Tanja Kortemme;S. Padmanabhan;Robert L. Baldwin

  • Ionisation of cysteine residues at the termini of model alpha-helical peptides. Relevance to unusual thiol pKa values in proteins of the thioredoxin family.

    Tanja Kortemme;Thomas E. Creighton

  • Computational redesign of protein-protein interaction specificity.

    Tanja Kortemme;Lukasz A Joachimiak;Lukasz A Joachimiak;Alex N Bullock;Alex N Bullock;Aaron D Schuler

  • Backrub-like backbone simulation recapitulates natural protein conformational variability and improves mutant side-chain prediction.

    Colin A. Smith;Tanja Kortemme;Tanja Kortemme

Frequent Co-Authors

David Baker
David Baker University of Washington
Brian Kuhlman
Brian Kuhlman University of North Carolina at Chapel Hill
Jeffrey J. Gray
Jeffrey J. Gray Johns Hopkins University
Richard Bonneau
Richard Bonneau New York University
Jens Meiler
Jens Meiler Vanderbilt University
Roland L. Dunbrack
Roland L. Dunbrack Fox Chase Cancer Center
William R. Schief
William R. Schief Scripps Research Institute
Rhiju Das
Rhiju Das Stanford University
John Kuriyan
John Kuriyan Vanderbilt University
Nevan J. Krogan
Nevan J. Krogan University of California, San Francisco

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