Protein Prediction

This project consists of implementing a novel protein structure prediction algorithm based on the Sequential Forward Floating Selection algorithm. For any amino acid sequence, this algorithm will be able to determine a “close-to-optimal” set of substructures from the PDB that covers, and therefore predicts, the input sequence.

• Status: Active
• Funding: National Library of Medicine (NLM) Bioinformatics and Health Informatics Training (BHIRT) Grant No. 5 T15 LM07089 13.
• Members: Jeffrey Reneker

• Publications:
  Jeffrey Reneker, and Chi-Ren Shyu. Refined repetitive sequence searches utilizing a fast hash function and cross species information retrievals, in BMC Bioinformatics, Vol. 6 2005
  
  Jeffrey Reneker, Chi-Ren Shyu, Peiyu Zeng, Joe Polacco, and Walter Gassmann. ACMES: fast multiple-genome searches for short repeat sequences with concurrent cross-species information retrieval, in Nucleic Acids Research, Vol. 32 2004; W649-W653
  
  

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