Morcos, Faruck
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Faruck Morcos joined the UTD faculty in 2016 as an Assistant Professor in the Department of Biological Sciences. He is head of the Evolutionary Information Laboratory and has interests in Statistical Learning, Information Theory, Network Science, Computational Biology and Bioinformatics and Systems Biology.
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Recent Submissions
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DCA-MOL: A PyMOL Plugin to Analyze Direct Evolutionary Couplings
(Amer Chemical Soc, 2019-01-11)Direct coupling analysis (DCA) is a statistical modeling framework designed to uncover relevant molecular evolutionary relationships from biological sequences. Although DCA has been successfully used in several applications, ... -
Engineering Repressors with Coevolutionary Cues Facilitates Toggle Switches with a Master Reset
(Oxford University Press, 2019-04-24)Engineering allosteric transcriptional repressors containing an environmental sensing module (ESM) and a DNA recognition module (DRM) has the potential to unlock a combinatorial set of rationally designed biological ... -
Global Pairwise RNA Interaction Landscapes Reveal Core Features of Protein Recognition
RNA-protein interactions permeate biology. Transcription, translation, and splicing all hinge on the recognition of structured RNA elements by RNA-binding proteins. Models of RNA-protein interactions are generally limited ... -
Genotypic and Phenotypic Factors Influencing Drug Response in Mexican Patients with Type 2 Diabetes Mellitus
The treatment of Type 2 Diabetes Mellitus (T2DM) consists primarily of oral antidiabetic drugs (OADs) that stimulate insulin secretion, such as sulfonylureas (SUs) and reduce hepatic glucose production (e.g., biguanides), ... -
Characterization of C-Ring Component Assembly in Flagellar Motors from Amino Acid Coevolution
Bacterial flagellar motility, an important virulence factor, is energized by a rotary motor localized within the flagellar basal body. The rotor module consists of a large framework (the C-ring), composed of the FliG, FliM ... -
Revealing Protein Networks and Gene-Drug Connectivity in Cancer from Direct Information
(Nature Publishing Group, 2018-08-20)The connection between genetic variation and drug response has long been explored to facilitate the optimization and personalization of cancer therapy. Crucial to the identification of drug response related genetic features ... -
Sequence Co-Evolutionary Information is a Natural Partner to Minimally-Frustrated Models of Biomolecular Dynamics
(F1000 Research Ltd, 2016-01-26)Experimentally derived structural constraints have been crucial to the implementation of computational models of biomolecular dynamics. For example, not only does crystallography provide essential starting points for ... -
Dimeric Interactions and Complex Formation Using Direct Coevolutionary Couplings
(2015-09-04)We develop a procedure to characterize the association of protein structures into homodimers using coevolutionary couplings extracted from Direct Coupling Analysis (DCA) in combination with Structure Based Models (SBM). ...
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