Intrinsic secondary structure propensities of the amino acids, using statistical ϕ–ψ matrices: Comparison with experimental scales

Proteins: Structure, Function and Bioinformatics - Tập 20 Số 4 - Trang 301-311 - 1994
Víctor Muñoz1, Luís Serrano1
1EMBL, Structures and Biocomputing, Meyerhofstrasse 1, Heidelberg, Germany

Tóm tắt

AbstractToday there are several different experimental scales for the intrinsic α‐helix as well as β‐strand, propensities of the 20 amino acids obtained from the thermodynamic analysis of various model systems. These scales do not compare well with those extracted from statistical analysis of three‐dimensional structure databases. Possible explanations for this could be the limited size of the databases used, the definitions of intrinsic propensities, or the theoretical approach. Here we report a statistical determination of α‐helix and β‐strand propensities derived from the analysis of a database of 279 three‐dimensional structures. Contrary to what has been generally done, we have considered a particular residue as in α‐helix or β‐strand conformation by looking only at its dihedral angles (ϕ–ψ matrices). Neither the identity nor the conformation of the surrounding residues in the amino acid sequence has been taken into consideration. Pseudoenergy empirical scales have been calculated from the statistical propensities. These scales agree very well with the experimental ones in relative and absolute terms. Moreover, its correlation with the average of the experimental scales for α‐helix or β‐strand is as good as the correlations of the individual experimental scales with the average. These results show that by using a large enough database and a proper definition for the secondary structure propensities, it is possible to obtain a scale as good as any of experimental origin. Interestingly the ϕ–ψ analysis of the Ramachandran plot suggests that the amino acids could have different β‐strand propensities in different subregions of the β‐strand area. © 1994 Wiley‐Liss, Inc.

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Proteins: Structure, Function and Bioinformatics

Tập 20 Số 4

301-311

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