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Chaos (Woodbury, N.Y.)
|
July 2, 2010
Evolution of a single gene highlights the complexity underlying molecular descriptions of fitness
Matthew I Peña, Elizabeth Van Itallie, Matthew R Bennett, et al.
Molecular Systems Biology
|
July 16, 2010
Evolutionary fates within a microbial population highlight an essential role for protein folding during natural selection
Matthew I Peña, Milya Davlieva, Matthew R Bennett, et al.
Protein Engineering, Design & Selection : PEDS
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December 21, 2007
An adaptive mutation in adenylate kinase that increases organismal fitness is linked to stability-activity trade-offs
Rafael Couñago, Corey J Wilson, Matthew I Peña, et al.
Journal of Cheminformatics
|
November 1, 2017
A review of parameters and heuristics for guiding metabolic pathfinding
Sarah M Kim, Matthew I Peña, Mark Moll, et al.
BMC Bioinformatics
|
January 12, 2020
Improving the organization and interactivity of metabolic pathfinding with precomputed pathways
Sarah M Kim, Matthew I Peña, Mark Moll, et al.
Journal of Chemical Information and Modeling
|
December 1, 2018
Machine Learning Guided Atom Mapping of Metabolic Reactions
Eleni E Litsa, Matthew I Peña, Mark Moll, et al.
Science Signaling
|
February 17, 2021
A predictive model of gene expression reveals the role of network motifs in the mating response of yeast
Amy E Pomeroy, Matthew I Peña, John R Houser, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 7) with videos related to
Sort By:
Page
of 1
Chaos (Woodbury, N.Y.)
|
July 2, 2010
Evolution of a single gene highlights the complexity underlying molecular descriptions of fitness
Matthew I Peña, Elizabeth Van Itallie, Matthew R Bennett, et al.
Molecular Systems Biology
|
July 16, 2010
Evolutionary fates within a microbial population highlight an essential role for protein folding during natural selection
Matthew I Peña, Milya Davlieva, Matthew R Bennett, et al.
Protein Engineering, Design & Selection : PEDS
|
December 21, 2007
An adaptive mutation in adenylate kinase that increases organismal fitness is linked to stability-activity trade-offs
Rafael Couñago, Corey J Wilson, Matthew I Peña, et al.
Journal of Cheminformatics
|
November 1, 2017
A review of parameters and heuristics for guiding metabolic pathfinding
Sarah M Kim, Matthew I Peña, Mark Moll, et al.
BMC Bioinformatics
|
January 12, 2020
Improving the organization and interactivity of metabolic pathfinding with precomputed pathways
Sarah M Kim, Matthew I Peña, Mark Moll, et al.
Journal of Chemical Information and Modeling
|
December 1, 2018
Machine Learning Guided Atom Mapping of Metabolic Reactions
Eleni E Litsa, Matthew I Peña, Mark Moll, et al.
Science Signaling
|
February 17, 2021
A predictive model of gene expression reveals the role of network motifs in the mating response of yeast
Amy E Pomeroy, Matthew I Peña, John R Houser, et al.
Page
of 1