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Cover Image, Volume 34, Issue 21
Publication year - 2013
Publication title -
journal of computational chemistry
Language(s) - English
Resource type - Reports
SCImago Journal Rank - 0.907
H-Index - 188
eISSN - 1096-987X
pISSN - 0192-8651
DOI - 10.1002/jcc.23378
Subject(s) - cover (algebra) , protein data bank , computer science , volume (thermodynamics) , code (set theory) , citation , image (mathematics) , helix (gastropod) , information retrieval , data mining , computer graphics (images) , algorithm , protein structure , artificial intelligence , library science , programming language , chemistry , biology , physics , biochemistry , mechanical engineering , ecology , set (abstract data type) , quantum mechanics , snail , engineering
The structural characterization of protein α‐helices is an important topic in structural bioinformatics. Hischenhuber et al. on page 1862 present a new methodology, based on differential geometric parameters, that compares helices to each other and determines the relative spatial orientation between two helices. The whole methodology is implemented in an easy‐to‐use, opensource Matlab package. The cover illustrates the ruled surface between the two α‐helices of the homodimeric X‐ray structure of the proto‐oncoprotein MafA in complex with DNA (Protein Data Bank accession code 4eot).