Faruck Morcos

About

My lab is interested in using tools from Statistical Inference, Information Theory and Computational Biology to understand and solve problems in Structural Biology, Protein Networks, Systems Biology and Molecular Evolution

Employment

• The University of Texas at Dallas Professor
  2026 - Present
• The University of Texas at Dallas Associate Professor
  2021 - 2026
• The University of Texas at Dallas Assistant Professor
  2015 - 2021
• Rice University Postdoctoral Fellow
  2012 - 2015
• University of California San Diego Postdoctoral Fellow
  2010 - 2012

Education

• University of Notre Dame M.S. in Applied Mathematics
  2007 - 2010
• University of Notre Dame Ph.D.
  2005 - 2010
• Technical University Munich M.S.
  2002 - 2004
• Instituto Tecnológico y de Estudios Superiores de Monterrey B.S. Electronics and Communications Engineering
  1997 - 2001

Projects & Funding

Projects & funding information is unavailable.

Publications (33)

• Characterization of C-ring component assembly in flagellar motors from amino acid coevolution
  Ricardo Nascimento dos Santos, Shahid Khan, Faruck Morcos
  Royal Society Open Science 2018 DOI: 10.1098/rsos.171854
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• Genotypic and phenotypic factors influencing drug response in Mexican patients with type 2 Diabetes Mellitus
  Frontiers in Pharmacology 2018 DOI: 10.3389/fphar.2018.00320
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• Global pairwise RNA interaction landscapes reveal core features of protein recognition
  Nature Communications 2018 DOI: 10.1038/s41467-018-04729-0
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• Interactions between mito NEET and NAF-1 in cells
  PLoS ONE 2017 DOI: 10.1371/journal.pone.0175796
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• Revealing protein networks and gene-drug connectivity in cancer from direct information
  Scientific Reports 2017 DOI: 10.1038/s41598-017-04001-3
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• A combined computational and genetic approach uncovers network interactions of the cyanobacterial circadian clock
  Journal of Bacteriology 2016 DOI: 10.1128/JB.00235-16
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• Connecting the sequence-space of bacterial signaling proteins to phenotypes using coevolutionary landscapes
  Molecular Biology and Evolution 2016 DOI: 10.1093/molbev/msw188
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• Elucidating the druggable interface of protein-protein interactions using fragment docking and coevolutionary analysis
  Proceedings of the National Academy of Sciences of the United States of America 2016 DOI: 10.1073/pnas.1615932113
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• Sequence co-evolutionary information is a natural partner to minimally-frustrated models of biomolecular dynamics
  F1000Research 2016 DOI: 10.12688/f1000research.7186.1
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• The Gearbox of the Bacterial Flagellar Motor Switch
  Alessandro Pandini, Faruck Morcos, Shahid Khan
  Structure 2016 DOI: 10.1016/j.str.2016.05.012
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• Dimeric interactions and complex formation using direct coevolutionary couplings
  Scientific Reports 2015 DOI: 10.1038/srep13652
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• Structure-function analysis of NEET proteins uncovers their role as key regulators of iron and ROS homeostasis in health and disease
  Biochimica et Biophysica Acta - Molecular Cell Research 2015 DOI: 10.1016/j.bbamcr.2014.10.014
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• The Fe-S cluster-containing NEET proteins mitoNEET and NAF-1 as chemotherapeutic targets in breast cancer
  Proceedings of the National Academy of Sciences of the United States of America 2015 DOI: 10.1073/pnas.1502960112
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• Coevolutionary information, protein folding landscapes, and the thermodynamics of natural selection
  Proceedings of the National Academy of Sciences of the United States of America 2014 DOI: 10.1073/pnas.1413575111
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• Direct coupling analysis for protein contact prediction
  Methods in Molecular Biology 2014 DOI: 10.1007/978-1-4939-0366-5_5
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• From structure to function: The convergence of structure based models and co-evolutionary information
  Physical Chemistry Chemical Physics 2014 DOI: 10.1039/c3cp55275f
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• Integrated strategy reveals the protein interface between cancer targets Bcl-2 and NAF-1
  Proceedings of the National Academy of Sciences of the United States of America 2014 DOI: 10.1073/pnas.1403770111
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• Toward rationally redesigning bacterial two-component signaling systems using coevolutionary information
  Proceedings of the National Academy of Sciences of the United States of America 2014 DOI: 10.1073/pnas.1323734111
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• Coevolutionary signals across protein lineages help capture multiple protein conformations
  Proceedings of the National Academy of Sciences of the United States of America 2013 DOI: 10.1073/pnas.1315625110
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• Designing pooling systems for noisy high-throughput protein-protein interaction experiments using boolean compressed sensing
  IEEE/ACM Transactions on Computational Biology and Bioinformatics 2013 DOI: 10.1109/TCBB.2013.129
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