C
Charles DeLisi
Researcher at Boston University
Publications - 234
Citations - 13593
Charles DeLisi is an academic researcher from Boston University. The author has contributed to research in topics: Antigen & Gene. The author has an hindex of 62, co-authored 231 publications receiving 13219 citations. Previous affiliations of Charles DeLisi include Icahn School of Medicine at Mount Sinai & College of Engineering, Trivandrum.
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Journal ArticleDOI
The detection and classification of membrane-spanning proteins
TL;DR: Discriminant analysis can be used to precisely classify membrane proteins as integral or peripheral and to estimate the odds that the classification is correct, and it is found that discrimination between integral and peripheral membrane proteins can be achieved with 99% reliability.
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Hydrophobicity scales and computational techniques for detecting amphipathic structures in proteins
James L. Cornette,Kemp B. Cease,Hanah Margalit,John L. Spouge,Jay A. Berzofsky,Charles DeLisi +5 more
TL;DR: Although the scale is optimal only for predicting alpha-amphipathicity, it also ranks high in identifying beta-ampshipathicity and in distinguishing interior from exterior residues in a protein.
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T-cell antigenic sites tend to be amphipathic structures.
Charles DeLisi,Jay A. Berzofsky +1 more
TL;DR: The finding that T-cell antigenic sites show a high correlation with amphipathicity greatly simplifies the search for such sites and is potentially important for vaccine development.
Journal Article
Prediction of immunodominant helper T cell antigenic sites from the primary sequence.
Hanah Margalit,John L. Spouge,James L. Cornette,Kemp B. Cease,Charles DeLisi,Jay A. Berzofsky +5 more
TL;DR: The hypothesis that stable amphipathic helices are fundamentally important in determining immunodominance is supported, and this approach may be of practical value in designing synthetic vaccines aimed at T cell immunity.
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Determination of atomic desolvation energies from the structures of crystallized proteins.
TL;DR: In this article, effective atomic contact energies (ACE) were estimated for 18 different atom types, which were resolved on the basis of the way their properties cluster in the 20 common amino acids.