Chapter title |
Protein Function Prediction
|
---|---|
Chapter number | 5 |
Book title |
Functional Genomics
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-7231-9_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7230-2, 978-1-4939-7231-9
|
Authors |
Leonardo Magalhães Cruz, Sheyla Trefflich, Vinícius Almir Weiss, Mauro Antônio Alves Castro, Cruz, Leonardo Magalhães, Trefflich, Sheyla, Weiss, Vinícius Almir, Castro, Mauro Antônio Alves |
Abstract |
Protein function is a concept that can have different interpretations in different biological contexts, and the number and diversity of novel proteins identified by large-scale "omics" technologies poses increasingly new challenges. In this review we explore current strategies used to predict protein function focused on high-throughput sequence analysis, as for example, inference based on sequence similarity, sequence composition, structure, and protein-protein interaction. Various prediction strategies are discussed together with illustrative workflows highlighting the use of some benchmark tools and knowledge bases in the field. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Unknown | 65 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 20% |
Student > Bachelor | 9 | 14% |
Student > Master | 9 | 14% |
Researcher | 8 | 12% |
Lecturer | 1 | 2% |
Other | 4 | 6% |
Unknown | 22 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 18 | 27% |
Agricultural and Biological Sciences | 11 | 17% |
Computer Science | 6 | 9% |
Medicine and Dentistry | 3 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
Other | 4 | 6% |
Unknown | 22 | 33% |