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About 10,000 papers for “Protein function”

Protein Function

Arthur M. Lesk · Protein Science · 2021

This chapter evaluates the wide variety of ways that proteins support the structures and life processes of viruses, cells, and organisms. It begins by looking at structural proteins, enzymes and enzyme kinetics, and antibodies. The chapter then considers transmembrane transport proteins—including channels, gates, and pumps—and receptors, all embedded in the general phospholipid bilayer membrane structure. Finally, it studies the role of transmembrane proton gradients in the electron transport chain and adenosine triphosphate (ATP) synthesis. Two catalogues of protein function are available. The first is the Enzyme Commission classification, which covers only catalytic functions. It has been extended by the Gene Ontology classification, devised in 2000 in connection with the task of annotating the <italic>Drosophila melanogaster</italic> genome.

Cited by 0

Protein Function

1997

Abstract The companion to this book, Protein Structure: A Practical Approach, gives methods of determining the structure of a newly discovered protein, but that is only part of the story. Protein Function: A Practical Approach completes the picture by providing the techniques for elucidating the functional properties of proteins, which can vary enormously, from simple structural roles to catalysis, from information transmission to energy control. This collection of tried-and-tested protocols will be applicable to many proteins, and can be performed in an average laboratory, without the need for specialized equipment.

Cited by 10

Protein Function

National Cancer Institute · Definitions · 2020

Ope n Pe e r Re v ie w on Qe ios

Cited by 0Open access

Protein Function

Encyclopedic Dictionary of Genetics, Genomics and Proteomics · 2004

Cited by 0

protein Localization Function Target protein Localization Function Target

2015

Supplementary table IV – List of predicted interactions. We considered that a potential target consensus, found by pattern matching, in an S. cerevisiae protein would be biologically relevant if it was within an unstructured region of the S. cerevisiae protein and also conserved in four of the six genomes used. We used the genomes of C. glabrata, K.lactis, C. albicans, D. hansenii, Y. lipolytica and N. crassa because these species diverged from S. cerevisiae at a time that falls within the optimal range proposed in our analysis. We retrieved function and localization

Cited by 0

Protein Function Prediction Using Function Associations in Protein–Protein Interaction Network

Pingping Sun, Tan Xian, Sijia Guo et al. · IEEE Access · 2018

In recent years, the rapid development of high-throughput technology has led to huge amounts of protein–protein interaction (PPI) data and unannotated protein sequences. Many approaches for protein function prediction have been developed which use PPI networks information. Traditional methods usually use the dependencies among interacting proteins for each same function only. However, the functions which are barely linked with the same function are more difficult to predict. In multi-label settings, the dependencies among related instances with multiple labels are more complex; rationally using these associations can make up for the shortcomings of traditional methods. In this paper, an iterative algorithm is applied to predict protein function based on the new network. The proposed method is able to capture the dependencies among functions based on proteins and interactions for protein function prediction. The test results show that the algorithm performs better than most of existing network based PPI algorithms; adding sequence similarity edges and spread function information can really improve the prediction performance. In addition, the dependencies among functions based on proteins and interactions can be effectively applied to the prediction of protein function.

Cited by 23Open access

Estimating Protein Function Using Protein-Protein Relationships

Shailesh V. Date · Methods in molecular biology · 2007

Many newly identified gene products from completely sequenced genomes are difficult to characterize in the absence of sequence homology to known proteins. In such a scenario, the context of the proteins' functional associations can be used for annotation; overrepresented functional linkages with a certain class of proteins or members of a pathway allow putative function assignments based on the "guilt-by-association" principle. Two computational functional genomics methods, phylogenetic profiling and identification of Rosetta stone linkages, are described in this chapter, which allow assessment of functional linkages between proteins, consequently facilitating annotation. Phylogenetic profiling involves measuring similarity between profiles that describe the presence or absence of a protein in a set of reference genomes, whereas Rosetta stone fusion sequences help link two or more independently transcribed and translated proteins. Both methods can be applied to investigate functional associations between individual proteins, and can also be extended to reconstruct the genome-wide network of functional linkages by querying the entire protein complement of an organism.

Cited by 12

Protein Function Prediction

Leonardo M. Cruz, Sheyla Trefflich, Vinícius Almir Weiss et al. · Methods in molecular biology · 2017

Cited by 62

Protein Function Analysis

YUM LINA YIP LYDIE LANE · Bioinformatics · 2007

Proteins largely determine cellular events. Proteins may be classified into a variety of functional categories such as catalytic, transporting, signaling, regulatory, controlling, structural, or mechanical proteins.

Cited by 0