Matthew I. Peña

ORCID: 0000-0002-4322-7462
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About
Contact & Profiles
Research Areas
  • Microbial Metabolic Engineering and Bioproduction
  • Bioinformatics and Genomic Networks
  • Gene Regulatory Network Analysis
  • Fungal and yeast genetics research
  • Plant biochemistry and biosynthesis
  • Evolution and Genetic Dynamics
  • Protein Structure and Dynamics
  • Enzyme Structure and Function
  • Receptor Mechanisms and Signaling
  • Neurobiology and Insect Physiology Research
  • Machine Learning in Materials Science
  • Genetic diversity and population structure
  • Computational Drug Discovery Methods
  • Biofuel production and bioconversion
  • Microbial Metabolites in Food Biotechnology
  • Fungal Biology and Applications
  • Biochemical and Molecular Research
  • Protein Kinase Regulation and GTPase Signaling
  • Microbial Natural Products and Biosynthesis

University of North Carolina at Chapel Hill
2015-2021

Rice University
2010-2021

Mitogen-activated protein kinase (MAPK) pathways control many cellular processes, including differentiation and proliferation. These commonly activate MAPK isoforms that have redundant or overlapping function. However, recent studies revealed circumstances in which specialized, nonoverlapping roles differentiation. The mechanisms underlie this specialization are not well understood. To address question, we sought to establish regulatory unique the Fus3 pheromone-induced mating chemotropic...

10.1091/mbc.e15-03-0176 article EN cc-by-nc-sa Molecular Biology of the Cell 2015-07-16

Atom mapping of a chemical reaction is between the atoms in reactant molecules and product molecules. It encodes underlying mechanism and, as such, constitutes essential information computational studies drug design. Various techniques have been investigated for automatic computation atom reaction, approaching problem graph matching problem. The abstraction problem, though, eliminates crucial information. There efforts enhancing representation by introducing bond stabilities edge weights,...

10.1021/acs.jcim.8b00434 article EN Journal of Chemical Information and Modeling 2018-11-30

G protein–coupled receptor (GPCR) signaling is fundamental to physiological processes such as vision, the immune response, and wound healing. In budding yeast Saccharomyces cerevisiae, GPCRs detect respond gradients of pheromone during mating. After stimulation, GPCR Ste2 removed from cell membrane, new receptors are delivered growing edge. The regulator protein (RGS) Sst2 acts by accelerating GTP hydrolysis facilitating pathway desensitization. also known interact with Ste2. Here we show...

10.1091/mbc.e14-12-1635 article EN cc-by-nc-sa Molecular Biology of the Cell 2015-08-27

Abstract Background The rapid growth of available knowledge on metabolic processes across thousands species continues to expand the possibilities producing chemicals by combining pathways found in different species. Several computational search algorithms have been developed for automating identification possible heterologous pathways; however, these searches may return pathway results. Although large number results are part due compounds and reactions, a subset core reaction modules is...

10.1186/s12859-019-3328-x article EN cc-by BMC Bioinformatics 2020-01-10

Evolution by natural selection is the driving force behind endless variation we see in nature, yet our understanding of how changes at molecular level give rise to different phenotypes and altered fitness population remains inadequate. The reproductive an organism most basic metric that describes chance will succeed or fail its environment it depends upon a complex network inter- intramolecular interactions. A deeper quantitative relationships relating evolution adaptation, consequently...

10.1063/1.3453623 article EN Chaos An Interdisciplinary Journal of Nonlinear Science 2010-06-01

Signaling network motifs ensure appropriate transcriptional responses to distinct pheromone dynamics in yeast.

10.1126/scisignal.abb5235 article EN Science Signaling 2021-02-16

10.17615/8hs2-8s23 article EN cc-by-nc-sa Carolina Digital Repository (University of North Carolina at Chapel Hill) 2015-01-01

ABSTRACT Cells use signaling pathways to receive and process information about their environment. These systems are nonlinear, relying on feedback feedforward regulation respond appropriately changing environmental conditions. Mathematical models developed describe often fail show predictive power, because the not trained data that probe diverse time scales which operate. We addressed this limitation using microfluidics expose cells a broad range of dynamic In particular, we focus...

10.1101/2020.06.23.167205 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2020-06-24
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