5 Projects completed by Aditya Jain

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  1. An integrated Repository of Computational Prediction of Deleterious SNPs Involved in Pathway of Bacterial Invasion of Epithelial Cells (BIoEC) in Homo sapiens

  Oct 2014 – Oct 2014
  Project description
  polyBIoECP is a directory of all the synonymous (sSNP) and non synonymous (nsSNP) polymorphisms collected using SCAN database which are associated with various genes involved in bacterial invasion of epithelial cells pathway. Â It is an effort to evaluate the phenotypic effect of all known nsSNPs of the genes involved in BIoEC pathway and to enable researchers an easy access. To further validate, this database was developed with an updated list of all validated nsSNPs from dbSNP (NCBI) and their effect on the structure and functions of the proteins along with their genomic elements such as miRNA, CNV and CpG islands. BIoECP also has a comparative analysis of native and mutant protein (using MODELLER) of the respective polymorphism validated using Ramachandran Plot.
  

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  See project An integrated Repository of Computational Prediction of Deleterious SNPs Involved in Pathway of Bacterial Invasion of Epithelial Cells (BIoEC) in Homo sapiensSee project
• Edit project 1-CMDb: Database for variations in human one carbon metabolism pathway

  Project name2. 1-CMDb: Database for variations in human one carbon metabolism pathway

  Jan 2014 – Jul 2014
  Project description
  2.1. Aim: 
  The aim of the present study was to find out the different levels of variations present in human one carbon folate metabolism pathway. 
  2.2. Objectives:
  To find out the variations in one carbon metabolism pathway of human genome. 
  To predict the disease associated CNV and SNPs in the one metabolic pathway.
  To develop a database for identified variations in human one carbon metabolic pathway.
  

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• Edit project Computational Analysis and Prediction of Deleterious SNPs Involved in Pathway of Bacterial Invasion of Epithelial Cells (BIoEC) in Homo sapiens

  Project nameComputational Analysis and Prediction of Deleterious SNPs Involved in Pathway of Bacterial Invasion of Epithelial Cells (BIoEC) in Homo sapiens

  Jan 2014 – Jan 2014
  Project description
  Prevalence of complex resistance mechanism in many pathogenic bacteria helps them to circumvent the host defence mechanism and use epithelium as a replicative bridgehead. Single nucleotide polymorphisms in the genes involved in Bacterial Invasion of Epithelial Cells (BIoEC) results in either defective protein synthesis or reduced protein function thus favoring bacterial invasion and pervasiveness. In an effort to evaluate the phenotypic effect of all known nsSNPs of the genes involved in BIoEC pathway and to enable researchers easy access to further validate, we developed a database with an updated list of all validated nsSNPs from dbSNP (NCBI) and their effect on the structure and functions of the proteins along with their genomic elements.
  

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  See project Computational Analysis and Prediction of Deleterious SNPs Involved in Pathway of Bacterial Invasion of Epithelial Cells (BIoEC) in Homo sapiensSee project
• Edit project A comparative study of available software for high accuracy homology modeling- from online server available

  Project nameA comparative study of available software for high accuracy homology modeling- from online server available

  Jan 2013 – Jan 2013
  Project description
  With increase in knowledge of protein sequences it is necessary that we should know the function of the protein and to know the function we should have knowledge of its structure. We still do not know how protein folding takes place in nature, but with known similar protein structures we will be able to determine structure of protein through homology modelinga. Today there are many online automated servers available for homology modeling. But the question arises which tool should be best suited for an unknown protein? To solve this question we have examined the homology-built models of different proteins, variation in sequence identity across these proteins ranges from 30% to 90 % identity. All of the protein structures such as we have taken are modeled using online server through an automated mode of homology modeling. All the structures were evaluated using Procheck. On obtaining higher identity matches Swiss-model and 3D Jigsaw gave best results amongst the four online servers by comparing the energy parameter (phi) and (psi) angles and by seeing the residues falling in region of Ramachandran plot we come to a conclusion that. At lower identity matches Swiss-model and Cphmodels server gave best results. On comparing percentage of identities, from lower to higher, best results are obtained from Swiss-model. From this comparative study we can conclude that, out of the four online servers Swiss-model, 3D Jigsaw, Geno3d, Cphmodel server, Swiss model can be considered the best homology modeling online server.
  

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• Edit project molecular modelling

  Project namemolecular modelling

  Nov 2010 – Dec 2010
  Project description
  Molecular modeling encompasses all theoretical methods and computational techniques used to model or mimic the behaviour of molecules. The techniques are used in the fields of computational chemistry, drug design, computational biology and materials science for studying molecular systems ranging from small chemical systems to large biological molecules and material assemblies. The simplest calculations can be performed by hand, but inevitably computers are required to perform molecular modelling of any reasonably sized system. The common feature of molecular modelling techniques is the atomistic level description of the molecular systems. This may include treating atoms as the smallest individual unit (the Molecular mechanics approach), or explicitly modeling electrons of each atom (the quantum chemistry approach).
  

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  See project molecular modellingSee project

ADITYA has 3 certifications3

Certifications

• Awarded as a junior scientist 2010.
 
• Certificate of Diploma in computer software
• Certificate of the University of new South Wales.

ADITYA has 2 courses2

Courses

• BIOINFORMATICS
 
• science

ADITYA has 1 honor1

Honor & Award

• junior scientist

ADITYA has 1 language1

Language

• English

ADITYA has 1 organization1

Organization

• Aditya Bioinformatics Solutions