Reliable and Specific Protein Function Prediction by Combining Homology with Genomic(s) Context

作者: Martijn A. Huynen , Berend Snel , Toni Gabaldón

DOI: 10.1007/0-387-36747-0_2

关键词: BioinformaticsHomology (biology)Specific proteinGenomeContext dataComparative genomicsComputational biologyGenomicsProtein function predictionRibosomal RNAComputer science

摘要: Completely sequenced genomes and other types of genomics data provide us with new information to predict protein function. While classical, homology-based function prediction provides about a proteins’ molecular (what does the do at scale?), analysis sequence in context its genome or functional are interaction partners, which biological process it play role?) Genomic however inherently noisy. Only by combining different genomic(s) (vertical comparative genomics) same type from species (horizontal they become sufficiently reliable be used for prediction. Homology-based context-based complementary protein’s can becombined make predictions that specific enough experimental testing. Here we discuss genomic coverage reliability survey have actually led confirmation. Using number examples illustrate how various lead predictions. These include Ribonuclease L inhibitor (RLI) is involved maturation ribosomal RNA.

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