4.7 Article

PROFbval: predict flexible and rigid residues in proteins

Journal

BIOINFORMATICS
Volume 22, Issue 7, Pages 891-893

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btl032

Keywords

-

Funding

  1. NIGMS NIH HHS [R01-GM64633-01] Funding Source: Medline
  2. NLM NIH HHS [R01-LM07329, R01-LM07329-01] Funding Source: Medline

Ask authors/readers for more resources

Summ.: The mobility of a residue on the protein surface is closely linked to its function. The identification of extremely rigid or flexible surface residues can therefore contribute information crucial for solving the complex problem of identifying functionally important residues in proteins. Mobility is commonly measured by B-value data from high-resolution three-dimensional X-ray structures. Few methods predict B-values from sequence. Here, we present PROFbval, the first web server to predict normalized B-values from amino acid sequence. The server handles amino acid sequences (or alignments) as input and outputs normalized B-value and two-state (flexible/rigid) predictions. The server also assigns a reliability index for each prediction. For example, PROFbval correctly identifies residues in active sites on the surface of enzymes as particularly rigid.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available