Here our goal is to carry out nanotube design using naturally occurring protein building blocks. Inspection of the protein structural database reveals the richness of the conformations of proteins, their parts, and their chemistry. Given target functional protein nanotube geometry, our strategy involves scanning a library of candidate building blocks, combinatorially assembling them into the shape and testing its stability. Since self-assembly takes place on time scales not affordable for computations, here we propose a strategy for the very first step in protein nanotube design: we map the candidate building blocks onto a planar sheet and wrap the sheet around a cylinder with the target dimensions. We provide examples of three nanotubes, two peptide and one protein, in atomistic model detail for which there are experimental data. The nanotube models can be used to verify a nanostructure observed by low-resolution experiments, and to study the mechanism of tube formation.
Designing a nanotube using naturally occurring protein building blocks. Publishing Authors By Initials
Designing a nanotube using naturally occurring protein building blocks. Journal Published:
PUBLICATION TYPE: Research Support, Non-U.S. Gov
Journal: PLoS computational biology
VOLUME: 2
Page Numbers: e42
Journal Abbreviation: PLoS Comput. Biol.
ISSN: 1553-7358
DAY: 28
MONTH: 04
YEAR: 2006
Designing a nanotube using naturally occurring protein building blocks. Information
Number of References:
LANGUAGE: eng
NlmUniqueID: 101238922
Designing a nanotube using naturally occurring protein building blocks. Keywords Mesh Terms:
KEYWORDS: Viral Proteins
MESH TERMS: chemistry
Chemical & Substance for Abstract: Designing a nanotube using naturally occurring protein building blocks. Information
Substance Name: Viral Proteins
Registry Number: 0
Grant and Affiliation Information for Designing a nanotube using naturally occurring protein building blocks.
AFFILIATION: Basic Research Program, SAIC-Frederick, Inc., Center for Cancer Research, Nanobiology Program, National Cancer Institute-Frederick, Frederick, Maryland, United States of America.
Country: United States
AGENCY: United States NCI
GRANT: N01-CO-12400
ACRONYM: CO
MEDLINETA: PLoS Comput Biol
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