2n9a

3D Structure of Decoralin-NH2 by Solution NMR

spinqualitylabelsall models 2n9a Show:Asymmetric Unit Biological Assembly Drag the structure with the mouse to rotate   Export Animated Image   Print3D Structural highlights 2n9a is a 1 chain structure with sequence from Oreumenes decoratus. Full experimental information is available from OCA. For a guided tour on the structure components use FirstGlance. Method: Solution NMR, 20 models Ligands: NH2 Resources: FirstGlance, OCA, PDBe, RCSB, PDBsum, ProSAT Function DCRLN_OREDC Publication Abstract from PubMed Leishmaniasis, a protozoan-caused disease, requires alternative treatments with minimized side effects and less prone to resistance development. Antimicrobial peptides represent a possible choice to be developed. We report on the prospection of structural parameters of 23 helical antimicrobial and leishmanicidal peptides as a tool for modeling and predicting the activity of new peptides. This investigation is based on molecular dynamic simulations (MD) in mimetic membrane environment, since most of these peptides share the feature of interacting with phospholipid bilayers. To overcome the lack of experimental data on peptides' structures, we started simulations from designed 100% alpha-helices. This procedure was validated through comparisons with NMR data and the determination of the structure of Decoralin-amide. From physicochemical features and MD results, descriptors were raised and statistically related to the minimum inhibitory concentration against Leishmania by the multivariate data analysis technique. This statistical procedure confirmed five descriptors combined by different loadings in five principal components. The leishmanicidal activity depends on peptides' charge, backbone solvation, volume and solvent accessible surface area. The generated model possesses good predictability (q2 =0.715, r2 =0.898) and is indicative for the most and the least active peptides. This is a novel theoretical path for structure-activity studies combining computational methods that identify and prioritize the promising peptide candidates. This article is protected by copyright. All rights reserved. MD Simulations and Multivariate Studies for Modeling the Anti-Leishmanial Activity of Peptides.,Guerra ME, Fadel V, Maltarollo VG, Baldissera G, Honorio KM, Ruggiero JR, Dos Santos Cabrera MP Chem Biol Drug Des. 2017 Mar 7. doi: 10.1111/cbdd.12970. PMID:28267894 From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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