BackgroundIn the past, many methods have been developed for peptide tertiary structure prediction but they are limited to peptides having natural amino acids. This study describes a method PEPstrMOD, which is an updated version of PEPstr, developed specifically for predicting the structure of peptides containing natural and non-natural/modified residues.ResultsPEPstrMOD integrates Forcefield_NCAA and Forcefield_PTM force field libraries to handle 147 non-natural residues and 32 types of post-translational modifications respectively by performing molecular dynamics using AMBER. AMBER was also used to handle other modifications like peptide cyclization, use of D-amino acids and capping of terminal residues. In addition, GROMACS was used to implement 210 non-natural side-chains in peptides using SwissSideChain force field library. We evaluated the performance of PEPstrMOD on three datasets generated from Protein Data Bank; i) ModPep dataset contains 501 non-natural peptides, ii) ModPep16, a subset of ModPep, and iii) CyclicPep contains 34 cyclic peptides. We achieved backbone Root Mean Square Deviation between the actual and predicted structure of peptides in the range of 3.81–4.05 Å.ConclusionsIn summary, the method PEPstrMOD has been developed that predicts the structure of modified peptide from the sequence/structure given as input. We validated the PEPstrMOD application using a dataset of peptides having non-natural/modified residues. PEPstrMOD offers unique advantages that allow the users to predict the structures of peptides having i) natural residues, ii) non-naturally modified residues, iii) terminal modifications, iv) post-translational modifications, v) D-amino acids, and also allows extended simulation of predicted peptides. This will help the researchers to have prior structural information of modified peptides to further design the peptides for desired therapeutic property. PEPstrMOD is freely available at http://osddlinux.osdd.net/raghava/pepstrmod/.ReviewersThis article was reviewed by Prof Michael Gromiha, Dr. Bojan Zagrovic and Dr. Zoltan Gaspari.Electronic supplementary materialThe online version of this article (doi:10.1186/s13062-015-0103-4) contains supplementary material, which is available to authorized users.

SUMMARY Developmental retardation was a prominent clinical feature in six infants from three kindreds deficient in the enzyme purine nucleoside phosphorylase (PNP) and was present before development of T cell immunodeficiency. Guanosine triphosphate (GTP) depletion was noted in the erythrocytes of all surviving homozygotes and was of equivalent magnitude to that found in the Lesch-Nyhan syndrome (complete hypoxanthine-guanine phosphoribosyltransferase (HGPRT) deficiency). The similarity between the neurological complications in both disorders indicates that the two major clinical consequences of complete PNP deficiency have differing aetiologies:(1) neurological effects resulting from deficiency of the PNP enzyme products, which are the substrates for HGPRT, leading to functional deficiency of this enzyme.(2) immunodeficiency caused by accumulation of the PNP enzyme substrates, one of which, deoxyguanosine, is toxic to T cells.These studies show the need to consider PNP deficiency (suggested by the finding of hypouricaemia) in patients with neurological dysfunction, as well as in T cell immunodeficiency. They suggest an important role for GTP in normal central nervous system function.

Both idiopathic restrictive cardiomyopathy (IRCM) and hypertrophic cardiomyopathy (HCM) are part of the same disease spectrum and are due to sarcomeric gene mutations. A patient with restrictive physiology without left ventricular hypertrophy (LVH) would be diagnosed as IRCM, while one with LVH would be diagnosed as HCM with restrictive physiology. We studied a group of patients with restrictive physiology for mutations in beta-myosin heavy chain (MYH7) and troponin I (TNNI3) gene. Consecutive probands in the HCM and IRCM cohort over a 4-year period were considered for this study. These included 10 IRCM and 102 HCM patients. All were Asian Indians. Among the 17 patients who had restrictive physiology 10 were IRCM patients and seven were HCM patients. Of the HCM patients, seven (6.9%) had restrictive physiology. Mean age of these 17 patients was 40.1 +/- 19.2 years (range: 15-67 ), six (35.3%) were males. Maximal left ventricular wall thickness of the seven HCM probands was 20.7 +/- 5.2 mm (range: 16-31), while it was normal in the IRCM probands. Ten probands (58.8%) were in NYHA class III or IV. Seven patients (41.2%) had atrial fibrillation. All the probands were screened for mutations in selected exons of MYH7 and TNNI3 genes. One IRCM patient was found to have p.Arg721Lys mutation in the MYH7 gene. She died due to progressive congestive cardiac failure at the age of 47 years. One HCM proband with a maximal left ventricular wall thickness of 17 mm had p.Arg192His mutation in the TNNI3 gene. She had features consistent with restrictive physiology. Her father and sister had died of restrictive cardiomyopathy. IRCM and HCM with restrictive physiology, both are part of the clinical expression of MYH7 and TNNI3 mutations and lead to worse clinical onset and progression of the disease.

This study describes methods for predicting and classifying voltage-gated ion channels. Firstly, a standard support vector machine (SVM) method was developed for predicting ion channels by using amino acid composition and dipeptide composition, with an accuracy of 82.89% and 85.56%, respectively. The accuracy of this SVM method was improved from 85.56% to 89.11% when combined with PSI-BLAST similarity search. Then we developed an SVM method for classifying ion channels (potassium, sodium, calcium, and chloride) by using dipeptide composition and achieved an overall accuracy of 96.89%. We further achieved a classification accuracy of 97.78% by using a hybrid method that combines dipeptide-based SVM and hidden Markov model methods. A web server VGIchan has been developed for predicting and classifying voltage-gated ion channels using the above approaches. VGIchan is freely available at www.imtech.res.in/raghava/vgichan/.

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