Prediction of protein function by discriminant analysis

Prediction of Protein Function by Discriminant Analysis*

Approximately 53% of the protein sequences in the National Biomedical Research Foundation (NBRF) database can be allocated to one of 26 functional classes, each of which can be characterized by the joint occurrence of four or fewer attributes. The attributes reflect collective physicochemical properties of the sequences in a class, ranging from simple characteristics of composition, such as ave...

Protein Family Classification with Discriminant Function Analysis

Rapid progress in multiple genome projects continues to feed databases in the world a large volume of sequence data. In this 'post-genomic' era, more efficient and reliable sequence annotation, especially functional annotation of protein sequences, is crucial. Although experimental confirmation is ultimately required, computational annotation of protein sequences has been routinely done, and it...

Selecting parental materials for hybridization by discriminant function

Discriminant Function Analysis (da)

Introduction Discriminant function analysis is used to determine which continuous variables discriminate between two or more naturally occurring groups. For example, a researcher may want to investigate which variables discriminate between fruits eaten by (1) primates, (2) birds, or (3) squirrels. For that purpose, the researcher could collect data on numerous fruit characteristics of those spe...

Protein function prediction via analysis of interactomes

Genome sequencing efforts have resulted in an explosion of organisms whose entire protein complements have been determined. Nevertheless, for many proteins, little is known beyond their sequences, and for the typical proteome, between one-third and one-half of its proteins remain uncharacterized. As a result, a major challenge in modern biology is to develop methods for determining protein func...