Structuprint: a scalable and extensible tool for two-dimensional representation of protein surfaces

被引:9
作者
Kontopoulos, Dimitrios Georgios [1 ]
Vlachakis, Dimitrios [2 ]
Tsiliki, Georgia [3 ]
Kossida, Sofia [4 ]
机构
[1] Imperial Coll London, Dept Life Sci, Silwood Pk Campus, Ascot, Berks, England
[2] Acad Athens, Biomed Res Fdn, Bioinformat & Med Informat Team, Athens, Greece
[3] Natl Tech Univ Athens, Sch Chem Engn, Athens, Greece
[4] Univ Montpellier, Lab ImmunoGenet Mol LIGM, Int ImMunoGeneT Informat Syst, IMGT,UPR CNRS 1142,Inst Genet Humaine, F-34059 Montpellier, France
关键词
Molecular cartography; Protein surfaces; Visualization; Surface comparison; Structural biology; DRUG DISCOVERY; MOLECULAR CARTOGRAPHY; PREDICTION; MAP; CLASSIFICATION; SOLUBILITY; AREA;
D O I
10.1186/s12900-016-0055-7
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Background: The term 'molecular cartography' encompasses a family of computational methods for two-dimensional transformation of protein structures and analysis of their physicochemical properties. The underlying algorithms comprise multiple manual steps, whereas the few existing implementations typically restrict the user to a very limited set of molecular descriptors. Results: We present Structuprint, a free standalone software that fully automates the rendering of protein surface maps, given -at the very least -a directory with a PDB file and an amino acid property. The tool comes with a default database of 328 descriptors, which can be extended or substituted by user-provided ones. The core algorithm comprises the generation of a mould of the protein surface, which is subsequently converted to a sphere and mapped to two dimensions, using the Miller cylindrical projection. Structuprint is partly optimized for multicore computers, making the rendering of animations of entire molecular dynamics simulations feasible. Conclusions: Structuprint is an efficient application, implementing a molecular cartography algorithm for protein surfaces. According to the results of a benchmark, its memory requirements and execution time are reasonable, allowing it to run even on low-end personal computers. We believe that it will be of use -primarily but not exclusively to structural biologists and computational biochemists.
引用
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页数:8
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