Faruck Morcos

Assistant Professor - Biological Sciences
faruckm@utdallas.edu
972-883-2520
BSB12601
Website
ORCID
Tags: Biology Genomics, Systems and Computational Biology Biochemistry and Biophysics Information Theory Statistical Inference Molecular Evolution

Professional Preparation

Postdoc - Biological Physics
Rice Unviersity - 2015
Postdoc - Biological Physics
University of California San Diego - 2012
Ph.D. - Computational Biology
University of Notre Dame - 2010
M.S. - Applied Mathematics
University of Notre Dame - 2010
M.S. - Electrical Engineering
Technische Universitat Munchen - 2004
B.S. - Electrical Engineering
Tec de Monterrey (ITESM) - 2001

Research Areas

Biomolecular Structure & Function
Methods: Statistical Inference, Information Theory & Simulation
Molecular Evolution
Biomolecular Interactions & Networks

Publications

Genomics-aided structure prediction 2012 - Journal Article
Direct-coupling analysis of residue coevolution captures native contacts across many protein families 2011 - Journal Article
Study of elastic collisions of Myxococcus xanthus in swarms 2011 - Journal Article
Belief propagation estimation of protein and domain interactions using the sum-product algorithm 2010 - Journal Article
Estimation of protein and domain interactions in the switching motility system of Myxococcus Xanthus 2010 - Conference Paper
Modeling conformational ensembles of slow functional motions in pin1-WW 2010 - Journal Article
Translation initiation modeling and mutational analysis based on the 3-end of the Escherichia coli 16S rRNA sequence 2009 - Journal Article
Cytoprophet: A Cytoscape plug-in for protein and domain interaction networks inference 2008 - Journal Article
HingeMaster: Normal mode hinge prediction approach and integration of complementary predictors 2008 - Journal Article
On genomic coding theory 2007 - Journal Article

Appointments

Assistant Professor
Department of Biological Sciences [2015–Present]
Assistant Professor (Affiliate)
Department of Bioengineering [2016–Present]
Member
Center for Systems Biology, University of Texas at Dallas [2015–Present]

Awards

Mexican Researchers System (SNI) Level II - CONACYT [2018]
Research Excellence Award - Department of Computer Science and Engineering, U. of Notre Dame [2010]
Kaneb Center Outstanding Graduate Teaching Award - University of Notre Dame [2008]
Kellogg Fellowship for Graduate Studies - University of Notre Dame [2005]
Werner von Siemens Excellence Award - Siemens [2002]

News Articles

Scientists' Computational Models Predict Mutations' Effect on Proteins
According to new research, the key to a successful, long-term relationship is for each partner to adapt to the other’s changes over time.

At least, that’s what appears to be true for pairs of proteins in bacteria.

A University of Texas at Dallas scientist and his colleagues are developing computer models to predict how mutations — or tiny physical changes — affect the biological performance of pairs of proteins that have co-evolved to work together.
A Scientific Dating Game: Biologists Play RNA-Protein Matchmakers

Virtually all functions in our bodies require precise interactions between radically different types of molecules. The vast majority of the time, these encounters yield nothing, but a special few sustain life as we know it. Drs. Faruck Morcos and Zachary Campbell at The University of Texas at Dallas are pursuing what differentiates a fruitful encounter from a dud — a mystery with long odds similar to finding a soul mate among the metaphorical millions of fish in the sea. Their ultimate goal is to prevent the relationships that become toxic and result in disease.

Biologists Design a Plug-and-Play Controller for Gene Expression
Researchers from two University of Texas System institutions have engineered biological components that can rewire genetic response pathways, creating a template for designing new cellular behaviors with wide-ranging potential applications.

Dr. Faruck Morcos of The University of Texas at Dallas and Dr. Clement Chan of UT Tyler have collaborated on modular versions of repressors — the proteins that block genetic instructions.

In a paper recently published in Nucleic Acids Research, they proposed a new strategy to create living cells that can sense multiple signals via reporter proteins. Their work, which has potential applications in medical diagnostics, originates from an interdisciplinary field called synthetic biology.

Affiliations

Department of Bioengineering
Center for Systems Biology