@article {908, title = {Enriching the annotation of Mycobacterium tuberculosis H37Rv proteome using remote homology detection approaches: insights into structure and function.}, journal = {Tuberculosis (Edinb)}, volume = {95}, year = {2015}, month = {2015 Jan}, pages = {14-25}, abstract = {

The availability of the genome sequence of Mycobacterium tuberculosis H37Rv has encouraged determination of large numbers of protein structures and detailed definition of the biological information encoded therein; yet, the functions of many proteins in M. tuberculosis remain unknown. The emergence of multidrug resistant strains makes it a priority to exploit recent advances in homology recognition and structure prediction to re-analyse its gene products. Here we report the structural and functional characterization of gene products encoded in the M. tuberculosis genome, with the help of sensitive profile-based remote homology search and fold recognition algorithms resulting in an enhanced annotation of the proteome where 95\% of the M. tuberculosis proteins were identified wholly or partly with information on structure or function. New information includes association of 244 proteins with 205 domain families and a separate set of new association of folds to 64 proteins. Extending structural information across uncharacterized protein families represented in the M. tuberculosis proteome, by determining superfamily relationships between families of known and unknown structures, has contributed to an enhancement in the knowledge of structural content. In retrospect, such superfamily relationships have facilitated recognition of probable structure and/or function for several uncharacterized protein families, eventually aiding recognition of probable functions for homologous proteins corresponding to such families. Gene products unique to mycobacteria for which no functions could be identified are 183. Of these 18 were determined to be M. tuberculosis specific. Such pathogen-specific proteins are speculated to harbour virulence factors required for pathogenesis. A re-annotated proteome of M. tuberculosis, with greater completeness of annotated proteins and domain assigned regions, provides a valuable basis for experimental endeavours designed to obtain a better understanding of pathogenesis and to accelerate the process of drug target discovery.

}, keywords = {Hydrolases, Mycobacterium tuberculosis, Protein Structure, Tertiary, Proteome, Sequence Analysis, Protein, Structural Homology, Protein}, issn = {1873-281X}, doi = {10.1016/j.tube.2014.10.009}, author = {Ramakrishnan, Gayatri and Ochoa-Monta{\~n}o, Bernardo and Raghavender, Upadhyayula S and Mudgal, Richa and Joshi, Adwait G and Chandra, Nagasuma R and Sowdhamini, Ramanathan and Blundell, Tom L and Srinivasan, Narayanaswamy} } @article {161, title = {Genome sequencing of herb Tulsi (Ocimum tenuiflorum) unravels key genes behind its strong medicinal properties.}, journal = {BMC Plant Biol}, volume = {15}, year = {2015}, month = {2015}, pages = {212}, abstract = {

BACKGROUND: Krishna Tulsi, a member of Lamiaceae family, is a herb well known for its spiritual, religious and medicinal importance in India. The common name of this plant is {\textquoteright}Tulsi{\textquoteright} (or {\textquoteright}Tulasi{\textquoteright} or {\textquoteright}Thulasi{\textquoteright}) and is considered sacred by Hindus. We present the draft genome of Ocimum tenuiflurum L (subtype Krishna Tulsi) in this report. The paired-end and mate-pair sequence libraries were generated for the whole genome sequenced with the Illumina Hiseq 1000, resulting in an assembled genome of 374~Mb, with a genome coverage of 61~\% (612~Mb estimated genome size). We have also studied transcriptomes (RNA-Seq) of two subtypes of O. tenuiflorum, Krishna and Rama Tulsi and report the relative expression of genes in both the varieties.

RESULTS: The pathways leading to the production of medicinally-important specialized metabolites have been studied in detail, in relation to similar pathways in Arabidopsis thaliana and other plants. Expression levels of anthocyanin biosynthesis-related genes in leaf samples of Krishna Tulsi were observed to be relatively high, explaining the purple colouration of Krishna Tulsi leaves. The expression of six important genes identified from genome data were validated by performing q-RT-PCR in different tissues of five different species, which shows the high extent of urosolic acid-producing genes in young leaves of the Rama subtype. In addition, the presence of eugenol and ursolic acid, implied as potential drugs in the cure of many diseases including cancer was confirmed using mass spectrometry.

CONCLUSIONS: The availability of the whole genome of O.tenuiflorum and our sequence analysis suggests that small amino acid changes at the functional sites of genes involved in metabolite synthesis pathways confer special medicinal properties to this herb.

}, issn = {1471-2229}, doi = {10.1186/s12870-015-0562-x}, author = {Upadhyay, Atul K and Chacko, Anita R and Gandhimathi, A and Ghosh, Pritha and Harini, K and Joseph, Agnel P and Joshi, Adwait G and Karpe, Snehal D and Kaushik, Swati and Kuravadi, Nagesh and Lingu, Chandana S and Mahita, J and Malarini, Ramya and Malhotra, Sony and Malini, Manoharan and Mathew, Oommen K and Mutt, Eshita and Naika, Mahantesha and Nitish, Sathyanarayanan and Pasha, Shaik Naseer and Raghavender, Upadhyayula S and Rajamani, Anantharamanan and Shilpa, S and Shingate, Prashant N and Singh, Heikham Russiachand and Sukhwal, Anshul and Sunitha, Margaret S and Sumathi, Manojkumar and Ramaswamy, S and Gowda, Malali and Sowdhamini, Ramanathan} } @article {1041, title = {Mechanistic Basis Of Peptide-Protein Interaction In AtPep1-PEPR1 Complex In Arabidopsis thaliana.}, journal = {Protein Pept Lett}, volume = {22}, year = {2015}, month = {2015}, pages = {618-27}, abstract = {

Peptide-mediated immunity against pathogens in plants can provide information on protein-peptide interactions and drug discovery in general. The molecular structure of AtPep1, a 23-amino acid signaling peptide isolated from Arabidopsis thaliana leaves and implicated in innate immunity, has evaded structural determination by biophysical methods. The details of molecular interaction of AtPep1 peptide with its receptor (PEPR1), a 170 kDa leucine-rich repeat (LRR) kinase is also unknown. We report a computational approach to the modeling AtPep1 by conformational sampling and its interaction with the receptor PEPR1. Molecular dynamics simulations were employed to sample and cluster energetically favorable conformations of AtPep1 and modeling of PEPR1 through homology. Docking of AtPep1 to PEPR1 and filtering of the biologically relevant poses were facilitated by the computational Ala-scanning mutations and binding energy analysis of the peptide-protein complex. This study provides the first independent in silico validation of the Structure-Activity- Relationship studies carried out on the AtPep1 and provides a molecular mechanism of the peptide-protein complex system.

}, issn = {1875-5305}, author = {Raghavender, Upadhyayula S and Sowdhamini, Ramanathan} } @article {1002, title = {SInCRe-structural interactome computational resource for Mycobacterium tuberculosis.}, journal = {Database (Oxford)}, volume = {2015}, year = {2015}, month = {2015}, pages = {bav060}, abstract = {

We have developed an integrated database for Mycobacterium tuberculosis H37Rv (Mtb) that collates information on protein sequences, domain assignments, functional annotation and 3D structural information along with protein-protein and protein-small molecule interactions. SInCRe (Structural Interactome Computational Resource) is developed out of CamBan (Cambridge and Bangalore) collaboration. The motivation for development of this database is to provide an integrated platform to allow easily access and interpretation of data and results obtained by all the groups in CamBan in the field of Mtb informatics. In-house algorithms and databases developed independently by various academic groups in CamBan are used to generate Mtb-specific datasets and are integrated in this database to provide a structural dimension to studies on tuberculosis. The SInCRe database readily provides information on identification of functional domains, genome-scale modelling of structures of Mtb proteins and characterization of the small-molecule binding sites within Mtb. The resource also provides structure-based function annotation, information on small-molecule binders including FDA (Food and Drug Administration)-approved drugs, protein-protein interactions (PPIs) and natural compounds that bind to pathogen proteins potentially and result in weakening or elimination of host-pathogen protein-protein interactions. Together they provide prerequisites for identification of off-target binding.

}, issn = {1758-0463}, doi = {10.1093/database/bav060}, author = {Metri, Rahul and Hariharaputran, Sridhar and Ramakrishnan, Gayatri and Anand, Praveen and Raghavender, Upadhyayula S and Ochoa-Monta{\~n}o, Bernardo and Higueruelo, Alicia P and Sowdhamini, Ramanathan and Chandra, Nagasuma R and Blundell, Tom L and Srinivasan, Narayanaswamy} }