Council of Scientific and Industrial Research

Piramal Life Sciences Limited

Samir Kumar Brahmachari

Balram Ghosh

Chandrika Rao

Pallav Bhatnagar

Srinivasan Ramachandran

Chinmoyee Das

Randeep Guleria

Ritushree Kukreti

Sanjeev Kimar Jain

Manoj Hariharan

Shweta Choudhry

Mitali Mukerji

Satish Jain

Salim Quaiser

Chitra Chauhan

Ranjana Verma

Chandrika Bhimarao

Tannistha Nandi

Preti Jain

Kaushal Kumar

Gaurav Sachdeva

Debasis Dash

Beena Pillai

Vinod Scaria

Chauhan Chitra

Verma Ranjana

S Jain

Q Salim

Present invention relates to a method for predicting an individual's bronchodilatory response to a &#x3b2; agonist. Present invention particularly relates to the detection of specific allelic variants of the &#x3b2;2AR gene and their use as pharmacogenetic markers towards response to &#x3b2; agonist.

Primers for amplifying and detecting the beta 2 adrenergic receptor gene

Method of detecting and predicting bronchodilatory response to beta agonist

The present invention relates to human microRNA targets in HIV genome and a method of identification thereof. Using multiple software targets to six human microRNAs [miRNAs] were discovered in the net, vpr, env, and I vif genes. The miRNAs were identified as hsa-miR-29a, hsa-miR-29b, hsa-miR-29c, hsa-mir-149, hsa-mir-324-5p, hsa-mir-378. These miRNAs or its homologues can be used as therapeutics against HIV infection. The invention further relates to a novel strategy to target genes of HIV-1 by human microRNAs, or its homologues, to inactivate or block HIV activity. The computational approach towards identification of human miRNA targets in the HIV genome and the variation in the microRNA levels was further validated experimentally.

Human microRNA targets in HIV genome and a method of identification thereof

The present invention relates to a novel computer based method for performing genome-wise comparison of several organisms, the said computational method involves creation of peptide libraries from protein sequences of several organisms and subsequent comparison leading to identification of conserved invariant peptide motifs, and to this end several invariant peptide motifs have been identified by direct sequence comparison between various bacterial organisms and host genomes without any a priori assumptions, and the present method is useful for identification of potential drug targets and can serve as drug screen for broad-spectrum antibacterials as well as for specific diagnosis of infections, and in addition, for assignment of function to proteins of yet unknown functions with the help of such invariant peptide motif signatures.

Computer based method for identifying peptides useful as drug targets

A computational method for identifying adhesin and adhesin-like proteins, said method comprising steps of computing the sequence-based attributes of a neural network software wherein the attributes are (i) amino acid frequencies, (ii) multiplet frequency, (iii) dipeptide frequencies, (iv),charge composition, and (v) hydrophobic composition, training the artificial neural Network (ANN) for each of the computed five attributes, and identifying the adhesin and adhesin-like proteins having probability of being an adhesin (P) as &#x2267;0.51; a computer system for performing the method; and genes and proteins encoding adhesin and adhesin-like proteins.

Computational method for identifying adhesin and adhesin-like proteins of therapeutic potential

The present invention relates to a novel method for the identification of candidate proteins in pathogens useful as anti-infectives and more particularly, the present invention describes a novel computational method involving calculation of several sequence attributes and their subsequent analysis lead to the identification of some outlier proteins in different pathogens which are either vaccine candidates, diagnostics or drug targets and also are provided the genes encoding the candidate proteins.

Computational method for the identification of candidate proteins useful as anti-infectives

The present invention relates to novel primers useful for identifying and screening non-sense mutation with codon TGG coding for amino acid tryptophan substituted with TAG a non-sense codon at nucleotide No. 825 in exon 2 of synaptogyrin 1 gene of chromosome 22q11-13, thereby detecting pre-disposition to schizophrenia in a subset of patients and a method thereof.

Primers for screening schizophrenia and a method thereof

The present invention relates to allelic variants of human Spinocerebellar ataxia 2 (SCA2) gene and provides allele-specific primers and probes suitable for detecting these allelic variants for applications such as molecular diagnosis, prediction of an individual's disease susceptibility, and/or the genetic analysis of SCA2 gene in a population.

Method of detection of allelic variants of SCA2 gene

Growing community of inventors

Delhi, India

Samir Kumar Brahmachari