@inbook{712b46583c5042919f06f3ef7c363602,
title = "A new de novo approach for optimizing peptides that inhibit HIV-1 entry",
abstract = "A new de novo protein design framework and its application to the redesign of an HIV-1 entry peptide inhibitor is presented.",
keywords = "Drug design, In silico sequence selection, Peptide and protein design and discovery, de novo protein design, optimization, structure prediction",
author = "{Ki Fung}, Ho and {A. Floudas}, Christodoulos and {S. Taylor}, Martin and Robert F.Siliciano",
note = "Funding Information: CAF acknowledges financial support from the National Science Foundation, the National Institutes of Health and the US Environmental Protection Agency (R01 GM52032, R24 GM069736, GAD R 832721-010). This work has not been reviewed by and does not represent the opinions of USEPA.",
year = "2007",
doi = "10.1016/S1570-7946(07)80184-2",
language = "English (US)",
isbn = "9780444531575",
series = "Computer Aided Chemical Engineering",
pages = "959--964",
editor = "Valentin Plesu and Agachi, {Paul Serban}",
booktitle = "17th European Symposium on Computer Aided Process Engineering",
}