New computational approaches to understanding molecular protein function.

New computational approaches to understanding molecular protein function.

Bibliographic Details
Main Authors:	Jacquelyn S Fetrow, Patricia C Babbitt
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2018-04-01
Series:	PLoS Computational Biology
Online Access:	https://doi.org/10.1371/journal.pcbi.1005756

Similar Items

An Atlas of Peroxiredoxins Created Using an Active Site Profile-Based Approach to Functionally Relevant Clustering of Proteins.
by: Angela F Harper, et al.
Published: (2017-02-01)

Biases in the experimental annotations of protein function and their effect on our understanding of protein function space.
by: Alexandra M Schnoes, et al.
Published: (2013-01-01)

Novel computational approaches to understanding protein-ligand interactions
by: Puvanendrampillai, Dushyanthan
Published: (2005)

Recent molecular approaches to understanding astrocyte function in vivo
by: David eDavila, et al.
Published: (2013-12-01)

Annotation error in public databases: misannotation of molecular function in enzyme superfamilies.
by: Alexandra M Schnoes, et al.
Published: (2009-12-01)

Understanding ligand binding, selectivity and functions on the G protein-coupled receptors: A molecular modeling approach
by: Zaidi, Saheem
Published: (2014)

Dynamics of dendritic cell maturation are identified through a novel filtering strategy applied to biological time-course microarray replicates
by: Olex Amy L, et al.
Published: (2010-08-01)

Electrostatics-based computational methods for understanding polymerase mechanism and for protein function annotation
Published: ()

A New Take on John Maynard Smith's Concept of Protein Space for Understanding Molecular Evolution
by: Ogbunugafor, C. Brandon, et al.
Published: (2017)

A New Take on John Maynard Smith's Concept of Protein Space for Understanding Molecular Evolution.
by: C Brandon Ogbunugafor, et al.
Published: (2016-10-01)

An atlas of the thioredoxin fold class reveals the complexity of function-enabling adaptations.
by: Holly J Atkinson, et al.
Published: (2009-10-01)

MOLECULAR PROFILING OF THE MICROBIAL COMMUNITY AND SULFATE- REDUCING BACTERIA ASSOCIATED WITH SIX PILOT SCALE PASSIVE SULFATE- REDUCING BIOREACTORS
by: Babbitt, Aaron
Published: (2015)

Computational approaches for rational design of proteins with novel functionalities
by: Manish Kumar Tiwari, et al.
Published: (2012-09-01)

COMPUTATIONAL APPROACHES FOR RATIONAL DESIGN OF PROTEINS WITH NOVEL FUNCTIONALITIES
by: Manish Kumar Tiwari, et al.
Published: (2012-09-01)

Computational Approaches for Inferring the Functions of Intrinsically Disordered Proteins
by: Mihaly eVaradi, et al.
Published: (2015-08-01)

Computational approaches for protein functions and gene association networks
by: Yalamanchili, Hari Krishna
Published: (2014)

Homeostatic control of brain function – new approaches to understand epileptogenesis
by: Detlev eBoison, et al.
Published: (2013-07-01)

Targeted protein clustering and degradation: new tools to understand protein function and tackle disease
by: João Aníbal Segurilho Amaral
Published: (2021)

Endometriosis: A New Cellular and Molecular Genetic Approach for understanding the pathogenesis and evolutivity
by: Jean eBouquet De Joliniere, et al.
Published: (2014-05-01)

Computational approaches to understanding infectious disease
by: Tan, Yan
Published: (2016)

Scientific software development is not an oxymoron.
by: Susan M Baxter, et al.
Published: (2006-09-01)

Towards a Molecular Understanding of Protein Solubility
by: Kramer, Ryan 1984-
Published: (2013)

Understanding the functional difference between growth arrest-specific protein 6 and protein S: an evolutionary approach
by: Romain A. Studer, et al.
Published: (2014-01-01)

Function of Macrophages in Disease: Current Understanding on Molecular Mechanisms
by: Chunye Zhang, et al.
Published: (2021-03-01)

Evolution of function in the "two dinucleotide binding domains" flavoproteins.
by: Sunil Ojha, et al.
Published: (2007-07-01)

Multi-omics approaches toward identifying therapeutic targets and understanding their molecular functions in cancer
by: Chantal Hoi Yin Cheung, et al.
Published: (2018)

Computational approaches to molecular recognition : from host-guest to protein-ligand binding
by: Montalvo Acosta, Joel José
Published: (2018)

A computational approach to understand in vitro alveolar morphogenesis.
by: Sean H J Kim, et al.
Published: (2009-01-01)

Computational Approach To Understanding Autism Spectrum Disorders
by: Włodzisław Duch, et al.
Published: (2012-01-01)

Approaches to understanding the function of inversin
by: Whistler, Catherine
Published: (2006)

Molecular Approach to Informal Computing
by: Zauner, K.-P, et al.
Published: (2001)

Understanding the folding-function tradeoff in proteins.
by: Shachi Gosavi
Published: (2013-01-01)

Towards Understanding Dirigent Protein Function
by: Seneviratne, Herana Kamal
Published: (2017)

Molecular understanding of the suppression of new-particle formation by isoprene
by: M. Heinritzi, et al.
Published: (2020-10-01)

Applying Evolutionary Computation and Ensemble Approaches to Protein Contact Map and Protein Function Determination
by: Chapman, Samuel D.
Published: (2017)

Understanding the "rules of engagement" for membrane protein folding : chemical biology and computational approaches for determination of structure and dynamics
by: Nash, Anthony
Published: (2014)

Computational personal genomics : understanding the functional effects of sequence variation
by: Altshuler, Robert C. (Robert Charles)
Published: (2016)

Understanding nanoparticle flow with a new in vitro experimental and computational approach using hydrogel channels
by: Armel Boutchuen, et al.
Published: (2020-02-01)

A GENE ONTOLOGY BASED COMPUTATIONAL APPROACH FOR THE PREDICTION OF PROTEIN FUNCTIONS
by: Kharsikar, Saket
Published: (2007)

Computational approaches to similarity searching in a functional site database for protein function prediction
by: Gold, Nicola Diane
Published: (2003)

Cannot write session to /tmp/vufind_sessions/sess_fcn0c3mama5c1hvj4cefg05v1u