Preparing your results

Our searching services are busy right now. Your search will reload in five seconds.

Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Evolutionary trace for prediction and redesign of protein functional sites.

The evolutionary trace (ET) is the single most validated approach to identify protein functional determinants and to target mutational analysis, protein engineering and drug design to the most relevant sites of a protein. It applies to the entire proteome; its predictions come with a reliability score; and its results typically reach significance in most protein families with 20 or more sequence homologs. In order to identify functional hot spots, ET scans a multiple sequence alignment for residue variations that correlate with major evolutionary divergences. In case studies this enables the selective separation, recoding, or mimicry of functional sites and, on a large scale, this enables specific function predictions based on motifs built from select ET-identified residues. ET is therefore an accurate, scalable and efficient method to identify the molecular determinants of protein function and to direct their rational perturbation for therapeutic purposes. Public ET servers are located at:

Pubmed ID: 22183528 RIS Download

Mesh terms: Amino Acid Sequence | Amino Acids | Automation | Evolution, Molecular | Molecular Sequence Data | Protein Engineering | Proteins | Software

Research resources used in this publication

None found

Research tools detected in this publication

None found

Data used in this publication

None found

Associated grants

  • Agency: NLM NIH HHS, Id: 5T15LM07093
  • Agency: NIGMS NIH HHS, Id: GM066099
  • Agency: NIGMS NIH HHS, Id: GM079656
  • Agency: NIDA NIH HHS, Id: R90 DA023418
  • Agency: NLM NIH HHS, Id: T15 LM007093
  • Agency: NIDA NIH HHS, Id: T90 DA022885

Mouse Genome Informatics (Data, Gene Annotation)

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.