Applying sequential forward floating selection to protein structure prediction with a study of HIV-1 PR.

ABSTRACT

Accurate structural models of target proteins are an essential component to structure-based drug design methods. To aid in this effort, the sequential forward floating selection (SFFS) algorithm is being applied to protein structure prediction. This algorithm demonstrates a reasonable balance between optimity of feature selection and efficiency while using large datasets such as the protein databank (PDB). The resulting protein structure predictions will be used in a study of HIV-1 PR.