Collaborators

Here, we define collaborator as a PI we have at least one publication shared with. Many more collaborations are currently on-going. We are very fortunate to work with the best of the best, and we are grateful for their time, energy and wisdom.

Texas Advanced Computing Center at UT Austin is a world leader in high-performance computing. Scientists at TACC built 'Stampede2' – one of the most powerful supercomputers
in the world.
Collaboration with TACC is
vital for our research,
and we are indebted to TACC staff for support.

TACC

TEXAS ADVANCED
COMPUTING CENTER

Joseph P. Albanesi	University of Texas Southwestern
Richard G. W. Anderson	University of Texas Southwestern
L. Aravind	NCBI, NLM, NIH
Carlos Arteaga	University of Texas Southwestern
Irina Artsimovitch	Ohio State University
Haydn L. Ball	University of Texas Southwestern
David Baker	University of Washington, Seattle
Rhonda Bassel-Duby	University of Texas Southwestern
Doina Bein	The Pennsylvania State University
Daniel D. Billadeau	Mayo Clinic
Oliver Billker	Umeå University
Andrew M. Blagborough	Imperial College London
Sven Bogdan	University of Münster
Dominika Borek	University of Texas Southwestern
Chad A. Brautigam	University of Texas Southwestern
Michael S. Brown	University of Texas Southwestern
James Brugarolas	University of Texas Southwestern
Richard Bruick	University of Texas Southwestern
John M. Burns	Smithsonian Institution
Ezra Burstein	University of Texas Southwestern
Kevin P. Campbell	University of Iowa
Emidio Capriotti	University of Bologna
Roberto Casadio	University of Bologna
Benjamin P.C. Chen	University of Texas Southwestern
Zhijian "James" Chen	University of Texas Southwestern
Yuh Min Chook	University of Texas Southwestern
Jonathan C. Cohen	University of Texas Southwestern
James Collins	University of Texas Southwestern
Rhiju Das	Stanford University
Ralf DeBerardinis	University of Texas Southwestern
J. Michael DiMaio	University of Texas Southwestern
Jack A. Dixon	University of California, San Diego
Don B. Gammon	University of Texas Southwestern
Christine K. Garcia	Columbia University
K. Christopher Garcia	Stanford University
Kevin H. Gardner	City University of New York
Krzysztof Ginalski	University of Warsaw, Poland
Vadim N. Gladyshev	Harvard Medical School
Adam Godzik	UC Riverside
Elizabeth J. Goldsmith	University of Texas Southwestern
Joseph L. Goldstein	University of Texas Southwestern
Eyal Grunebaum	University of Toronto
Joel M. Goodman	University of Texas Southwestern
Mehrdad Hajibabaei	University of Guelph
Paul Hebert	University of Guelph
Osnat Herzberg	IBBR, University of Maryland
Helen H. Hobbs	University of Texas Southwestern
Lily J. Huang	University of Texas Southwestern
Jay D. Horton	University of Texas Southwestern
Tim Hubbard	King's College London
Koichi Iwanaga	Daiichi-Sankyo, Tokyo
Daniel H. Janzen	University of Pennsylvania
Ralf Kittler	University of Texas Southwestern
Eugene V. Koonin	NCBI, NLM, NIH
Thomas Krey	German Center for Infection Research
Beth Levine	University of Texas Southwestern
Olivier Lichtarge	Baylor College of Medicine
Qinghua Liu	University of Texas Southwestern
Leila Lo Leggio	University of Copenhagen
Mischa Machius	Scientific Consulting
Joao Pedro de Magalhaes	University of Liverpool, UK
John D. Minna	University of Texas Southwestern
Jeffrey McDonald	University of Texas Southwestern
Steven L. McKnight	University of Texas Southwestern
Markey McNutt	University of Texas Southwestern
Hamid Mirzaei	University of Texas Southwestern
Eric N. Olson	University of Texas Southwestern
Paul A. Opler	Colorado State University
Kim Orth	University of Texas Southwestern
Zbyszek Otwinowski	University of Texas Southwestern
Andrei L. Osterman	Sanford-Burnham Institute
Debnath Pal	Indian Institute of Science, Bangalore
Juan M. Pascual	University of Texas Southwestern
Margaret A. Phillips	University of Texas Southwestern
Arun Radhakrishnan	University of Texas Southwestern
Nadia Raffaelli	Università Politecnica delle Marche
Ganesh Raj	University of Texas Southwestern
Felix A. Rey	Institut Pasteur
Luke M. Rice	University of Texas Southwestern
Jose Rizo-Rey	University of Texas Southwestern
Robert K. Robbins	Smithsonian Institution
Dmitry A. Rodionov	Sanford-Burnham Institute
Michael K. Rosen	University of Texas Southwestern
Dan M. Rosenbaum	University of Texas Southwestern
Randall L. Rosenblatt	Baylor Scott & White Health
Fritz Roth	University of Toronto
Leszek Rychlewski	BioInfoBank Institute, Poznan, Poland
Dor Salomon	Tel Aviv University
Somasekar Seshagiri	ModMab & AntlerA Therapeutics
Torsten Schwede	University of Basel
Eugene I. Shakhnovich	Harvard University
Jerry Shay	University of Texas Southwestern
Michael Shiloh	University of Texas Southwestern
William J. Snell	University of Maryland
Daron M Standley	Osaka University
Thomas C. Sudhof	Stanford University
Vincent S Tagliabracci	University of Texas Southwestern
Sara A. Teichmann	Wellcome Sanger Institute
Dennis J. Thiele	Duke University
Diana Tomchick	University of Texas Southwestern
Fernando Torres	University of Texas Southwestern
Hensin Tsao	Harvard Medical School
Dmitry G. Vassylyev	The University of Alabama at Birmingham
Min Wang	South China Agricultural University, Guangzhou
Xiaodong Wang	National Institute of Biological Sciences, Beijing
Thomas M. Wilkie	University of Texas Southwestern
Ian A. Wilson	The Scripps Research Institute
Ignacio I. Wistuba	MD Anderson Cancer Center
Woodring E Wright	University of Texas Southwestern
Junyu Xiao	Peking University
Xiao-Song Xie	University of Texas Southwestern
Chao Xing	University of Texas Southwestern
Felix O. Yarovinsky	University of Rochester Medical Center
Jin Ye	University of Texas Southwestern
Hong Zhang	University of Texas Southwestern
Xuewu Zhang	University of Texas Southwestern
YingMing Zhao	University of Chicago
Yaoqi Zhou	Griffith University
Andrew R. Zinn	University of Texas Southwestern

By the nature of our work, since we like to predict various properties of proteins, we are involved in many collaborations. We enjoy looking at strange and unusual proteins: sequences with unknown spatial structure, 3D structures with unknown function, clinically important mutations of unknown meaning. It happens that we can tell something practically useful about them.

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