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NCAD, a Database Integrating the Intrinsic Conformational Preferences of Non-Coded Amino Acids

Authors: Revilla-López, Guillermo; Casanovas, Jordi; Calaza, M. Isabel; Zanuy, David; Jiménez, Ana I.; Cativiela, Carlos; Nussinov, Ruth; +1 Authors

NCAD, a Database Integrating the Intrinsic Conformational Preferences of Non-Coded Amino Acids

Abstract

Peptides and proteins find an ever-increasing number of applications in the biomedical and materials engineering fields. The use of non-proteinogenic amino acids endowed with diverse physicochemical and structural features opens the possibility to design proteins and peptides with novel properties and functions. Moreover, non-proteinogenic residues are particularly useful to control the three-dimensional arrangement of peptidic chains, which is a crucial issue for most applications. However, information regarding such amino acids—also called non-coded, non-canonical, or non-standard—is usually scattered among publications specialized in quite diverse fields as well as in patents. Making all these data useful to the scientific community requires new tools and a framework for their assembly and coherent organization. We have successfully compiled, organized, and built a database (NCAD, Non-Coded Amino acids Database) containing information about the intrinsic conformational preferences of non-proteinogenic residues determined by quantum mechanical calculations, as well as bibliographic information about their synthesis, physical and spectroscopic characterization, conformational propensities established experimentally, and applications. The architecture of the database is presented in this work together with the first family of non-coded residues included, namely, α-tetrasubstituted α-amino acids. Furthermore, the NCAD usefulness is demonstrated through a test-case application example.

Financial support from Ministerio de Ciencia e Innovación - FEDER (grants CTQ2007-62245 and CTQ2008- 00423-E/BQU; Ramón y Cajal contract for D.Z.), Gobierno de Aragón (research group E40), and Generalitat de Catalunya (research group 2009 SGR 925; XRQTC; ICREA Academia prize for excellence in research to C.A.) is gratefully acknowledged. This project has been funded in part with Federal funds from the National Cancer Institute, National Institutes of Health, under contract number HHSN261200800001E.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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