"Success usually comes to those who are too busy to be looking for it"
How to become like a Bioinformatician?-: Re-evolution in Evolution!!!  
 
  Resume 11/24/2024 2:36am (UTC)
   
 
Objective
Pursing the Post Doctoral in bioinformatics& Completed Masters with sound technical skills and good communication skills seeking an innovative and challenging opportunity that would facilitate mutual benefit of my employer and myself.

 
 
 
Highlights of Qualification

  •  Experienced in Computer aided drug designing, Gene therapy  and worked with Senior Research analyst.
  •  Highly Motivated, goal Oriented professional; a decision maker skilled in implementing new ideas.
  • A team player with strong communication, presentation, interpersonal and research skills
Professional Experience
1. Company Name- SAI’S BIOSCIENCE RESEARCH INSTITUTE              (NOVEMBER- 2008 to June 2009)
Place- Chennai
Job Profile- Research analyst cum Faculty in Bioinformatics.
Description-
     Worked with Senior Research analyst in designing Biomarker and Database on Molecular Biology for Gene and Protein Biomarker against several diseases like cancer.
      • Designing of the new drug molecule.
      • Molecular Docking Studies by using Commercial Software-ACCELRYS DS and ACCELRYS GENE
      • ADME prediction.
      • Well trained of various Bioinformatics tools and software.
 Handled Various Project On-
 
Gene therapy: To knock down and silence the gene expression process of the mutated gene using Vector construction
Drug Designing: Studying and comparing the drug docking and interaction with the receptor.
Molecular Modeling: Protein modeling based on homology modeling and studying the importance of motif, domain and binding site region.
Microarray Data Analysis: Deals with giving a biological interpretation of the microarray data (spots) by constructing a tree that provides a correlation statistics of the microarray data.
 Biostatistics: Applying (Statistical packages: SPSS, STATA etc) statistical principles on design, analysis of medical research data.

Guided Projects For Students & Verified Their Records:
·         "An Insilco approach to target BRCA2 Gene using Antisense RNA"
·         “Therapeutic- Vector Designing using Thyrosine phosphatase receptor- A target for RNA interference based therapy for Colorectal cancer.
·         "Ribozyme mediated inactivation of ABCG5 gene in Sitosterolemia using recombinant vector"
·         "Ribozyme mediated inactivation of SGCG gene in Dystrophy type2C syndrome using recombinant vector
·         " De novo drug designing of drug like molecule against Maba (3-oxoacyl reductase) protein for tuberculosis"


2. College Name- NOORUL ISLAM COLLEGE OF ARTS & SCIENCE
 (JULY-2009 to Present)
 Place- Kumaracoil,Thuckalay
 Job Profile- Lecturer in Bioinformatics
      • Handling classes for UG & PG courses in Bioinformatics
      • Handled the Practical classes for PG students in Bioinformatics
      • Guided the Projects for UG, PG and M.Phil students in the area of Molecular fingerprint, Drug Designing and Gene therapy
      • Handled Certificate course on “Perl for Bioinformatics” using Linux Platform for UG and PG students
      • Taken the YSAP Classes for school students in NI Engineering college
      • Trained the student’s activities in Seminar/ Conference/ Workshop programme.
 
Handling Various Classes On-
           Molecular Modeling & Drug Design, Structural Bioinformatics, Computational Biology, Proteomics and Genomics, Metabolimics, Basics Bioinformatics Biocomputing & Biophysics
 
  •  Guided students for Various Project On
  • UG Classes- "Molecular fingerprinting analysis on novel target protein Hemagglutinin from H1N1 Swineflu Virus- an In silico method"
  • PG classes- "An Insilico approach to drug designing on novel target for tuberculosis caused by Mycobacterium tuberculosis"

Bioinformatics Skills:
R&D in Bioinformatics-  
  • Molecular modeling and docking
  • Functional genomics
  • Drug discovery and vaccine development
  •  Gene therapy 
  •  Molecular Fingerprint analysis
  • Microarray                                    
                                                                                                                                                                           
 Computing Skills:
  • Programming languages: C,Shell
  •  Scripting Language: Perl and BioPerl
  •  OS: WINDOW'S XP, WINDOW'S NT AND LINUX
  •  DATABASE: SQL and ORACLE 9i  
  •  Documentation tools: MS OFFICE 2000 (Word, Excel, Power point and Access)
 
 Skilled Techniques:
  • Virtual Screening
  •  Drug Designing (Structure based & Ligand based)
  •  Docking Analysis
  • Protein- Ligand Interaction Studies
  •  Molecular Modeling
  • Inter Residue Interactions.
  • Therapeutic Vector Construction
  • Vaccine development
  • Comparative modeling
  • Perl programming & Web Designing
 
 Mol-Bio
  •  Cell culture techniques: Cell isolations, Purification and maintaining cells under lab conditions etc.
  • Sterilization technique-Centrifugation, Chromatography, Electrophesis, PCR, MARKER STUDY
  • Ligation method DNA isolation methodologies, Isolation of plasmid.
 Short Term Courses
  • Successfully completed the Course on Remedial Mathematics
  • Hand on experience in PERL programming under the guidance of Ajanta Devi (Infosys), Sri Ramachandra University, Chennai
  • Trained on a mini integrated project on the Microarray data analysis of psoriasis at         Sri Ramachandra University, Chennai
   Academic Training
  •  One day visit to the Sankara Netralaya, Chennai, India. During visit we    have been exposed to the techniques like Real Time PCR, Microarray and Automated DNA sequencing.
 M.sc Projects undergone:
 
Project-I
  • Project Name    :A PHYLOGENETIC ANALYSIS ON ECDYSTEROID RECEPTOR OF ARTHROPODS AND OTHER INVERTEBRATES USING NOVEL METHODS
  • S/W               :    NCBI, CLUSTAL W,PHYLIP, TREE-PUZZLE,TREE-VIEW, MEGA     
  • Platform      : Windows 2000/XP
  • Place     - National Institute of Ocean Technology (Ministry Of Earth Sciences, Govt. Of India),Chennai
 
Project-II
  • Project Name    : INSILICO MOLECULAR MODELLING & DOCKING STUDIES    
  • S/W                    : DISCOVER, AFFINITY, LUDI, ANALYSES AND QSAR.
  • Platform            :Linux
  • Place       - Sri Ramachandra University,Chennai.
 Research papers
  • Published a research paper in KAAS - .”Insilico Homology modeling and Drug designing of PerfringolysinO from Clostridium perfringeni” Dec,2009 at Hindu college, Nagercoil, India
Paper Presentation
  •  Presented a paper on Global warming at National Seminar on Human Values & the Emerging Problems of Science & Techn. Developments on Nuclear Hazards, August 2005, Sarah Tucker College, Tirunelveli.
  •  Presented the paper- Prediction of antigenic determinant of proteins at National Symposium on "Prospective aspects of Microbial diversity”, July, 2009, at Standard Fireworks Rajaratnam College for Women, Sivakasi, , India
  • Presented the papers at National Symposium on "Zavest-09” Aug,2009, Satyabama University, Chennai, India
a. A phylogenetic analysis of ecdysteroid receptors of arthropods and other invertebrates
b. Comparative gene analysis of hereditary and non-hereditary genes of Prostate cancer.
  • Presented a paper- Insilico Homology modeling and Drug designing of PerfringolysinO from Clostridium perfringeni”, Dec 2009, Hindu college, Nagercoil, India
  • Presented the papers at Technical frontiersSymposium on BioQuest "Noorul Islam College of Arts and science, Kumaracoil, Thuckalay.
a. A phylogenetic analysis of ecdysteroid receptors of arthropods and other invertebrates
b. An Insilico approach to Drug Designining on novel target for leprosy caused by Mycobacterium Leprosy

   Poster Presentation
  •  Presented the following posters at National Symposium on "Zavest-09” Aug,2009,
            Satyabama University, Chennai, India
a Drug Target Identification on Anthrax using SBDD
b. Bioinformatics in Immunoinformatics

 Seminar/ Workshop Attended

  • January 2010- Attended the Biotrix association for Biosciences, Noorul Islam College of Arts and science, Kumaracoil, Thuckalay.
  • December 2009- KAAS publication for research papers at Hindu college, Nagercoil, India
  • August 2009- National Symposium on "Zavest-09” Satyabama University, Chennai, India
  • July 2009- National Symposium on "Prospective aspects of Microbial diversity”, July, 2009, at Standard Fireworks Rajaratnam College for Women, Sivakasi, , India
  • February 2007 -National Workshop on Matlab in Bioinformatics by Dept of Bioinformatics at Sri Ramachandra University ,Chennai
  • August 2007 - National Workshop on Molecular Modeling & Drug Design at
  •  Sri Ramachandra University, Chennai.
  • February 2007 - First National Workshop on Microarray Data Analysis, Sri Ramachandra University, Chennai
  • August 2005 - National Seminar on Human Values & the Emerging Problems of Science & Techn. Developments on Nuclear Hazards, Sarah Tucker College, Tirunelveli.
  • September 2005 - Seminar Cum Workshop on Molecular Trends in MicrobiologyV.H.N.S.N.College,   Virudhunagar.            
  • February 2005- Seminar Cum Workshop on Emerging Trends in Microbiology,V.H.N.S.N.College,Virudhunagar.
  • July 2004-Department of Microbiology & International Centre For Bio-Resources         Management (ICBM), Seminar on Recent Trends in Microbiology, Malankara Catholic College, Kaliakkavilai
 
 Visiting Faculty
          Guest Lecturer – (Sri Ramachandra     University, Chennai)


Achievement
 
               UNIVERSITY RANK HOLDER (Manonmaniam Sundaranar University,)
PUBLISHED M.SC PROJECT WORK in MBiC web site @ NIOT, Central gov.of India
Launched my own website


 

 
 
 


 
 
  Role of Bioinformatician
 
 
 
 
 
 
 
 
 
 
 
 
 
 

"Here is some of the Bioinformatics Resources on the Internet"
  Bioinformatics activities @ NICAS
  ABOUT THE DEPARTMENT
BIOINFORMATICS an emerging multidisciplinary field of science and technology which has immense application in the various area of scientific research. This department was started as an independent department by the management of Noorul Islam Educational Trust , being affiliated to Manomaniam Sundaranar University in the year 2001 with prime motto of dispersing and sharing knowledge to the students to excel in their career. The department offers undergraduate (B.sc) , post graduate (M.sc) and post doctoral (M.phil) degree programs in Bioinformatics. The department immense success by training post graduate Alumini who are all placed in reputed institutes and firms with a challenging career ahead.


The department has full fledged highly functional Ug and PG computational lab with drug designning software Autodock, Discovery studio, etc.


Infrastructure and state-of-the art computational facilities like Linux , Windows Xp cluster, the department continuosly achieves paramount success in its current research projects along with work dedication of the students ,staffs and continuous cooperation of the management.
  VISION
* To evolve as a pioneer in Bioinformatics research with a focus on development of innovative product and services.

* Attaining new heights in research, shaping bioinformatics as premier precision tool for future for creation of sustainable societal development.

*Special effort would be made to integrate diverse disciplines/professional required to attain self reliance in this world.

  COURSE DETAILS
I. Microarray Data Analysis
Microarray analysis techniques are used in interpreting the data generated from experiments on DNA, RNA, and protein microarrays, which allow researchers to investigate the expression state of a large number of genes .
# Bioinformatics Application
•Data analysis in the Microarray is a vital part as this part influences the final result.
•Deals with giving a biological interpretation of the microarray data(spots) by constructing a tree that provides a correlation statistics of the microarray data.
• Understands the benefits of using statistics in interpreting a biological data
• Allows detection of thousands of genes simultaneously
• Tools for the analysis of a gene and a genome –Splice center, Gene spring, Genowiz,…
Diagnostic application of gene expression data, especially microarrays; designing simulation models of microarray data; developing statistical pattern analysis methods for classifying tissue samples based on gene expression profiles.

II. Enzyme technology
Enzyme engineering (or enzyme technology) is the application of fermentation process using catalytic activity of isolated enzymes, to produce new metabolites or to convert some compounds into another's (biotransformation). The process starts with the isolation and characterisation of the required enzyme. This information is analysed together with the database of known and putative structural effects of amino acid substitutions to produce a possible improved structure. This factitious enzyme is constructed by site-directed mutagenesis, isolated and characterised. The results, successful or unsuccessful, are added to the database, and the process repeated until the required result is obtained.
# Bioinformatics Application
a.New enzymatic processes are being developed and new uses are being devised for currently available industrial enzymes.
b.New enzymes are being produced by classical means and 'by design'.
•Bioinformatics and genome mining for new enzymes
•Computational and statistical approaches for enzyme engineering
•Directed evolution and high-throughput screening
•Expression and modification of enzymes for secondary metabolites
•Metabolic engineering
•Engineered enzymes for biofuels production
•Applications in biocatalysis, medicine, and new biomaterials

III. Bioinformatics in biotechnology
*Genetic engineering and transgenics
*Bioremediation
*Gene therapy

*Genetic engineering and transgenics
The procedures used to isolate, splice and manipulate DNA outside the cell. Genetic Engineering allows a recombinantly engineered DNA segment to be introduced into a foreign cell or organism, and be able to replicate and function normally.

*Transgenics
A foreign gene that is introduced into a cell or whole organism (eg.transgenic mice) for therapeutic or experimental purposes.

*Bioremediation
The science of using living things, such as plants and microorganisms, to remove toxins from the environment and restore it to a healthful condition.
# Bioinformatics Application
The dynamic development of bioinformatics enables both the planning of biological research and its multidirected analysis. The application of computer databases and specialised computer programmes is the basis for the development of many contemporary biological disciplines, including molecular genetics. Bioinformatics seems to be the tool neccesary to study the structure of genes, their mechanisms of operation, and their cooperation. The nucleotide sequence of binary plasmid genes are available in the database, tools are available to design primer pairs for the synthesis of desirable fusion gene construct with PCR method. Restriction enzyme analysis helps to decide on the compatibility between the inserts

IV. Immunoinformatics
Computational immunology is a field of science that encompasses high-throughput genomic and bioinformatics approaches to immunology. The field's main aim is to convert immunological data into computational problems, solve these problems using mathematical and computational approaches and then convert these results into immunologically meaningful interpretations.
# Bioinformatics Application
The explosive growth of bioinformatics techniques and applications in the post-genomics era has radically transformed immunology research. This has led to a comparable growth in the field of computation immunology, or immunoinformatics. Some bioinformatics works in this field include designing antigenic peptides, developing DNA vaccine strategies, studying antigen-antibody interaction etc.

V. Metabolic pathway engineering
"The commercial production of fuels chemicals using pathway engineering"
Metabolic engineering is the practice of optimizing genetic and regulatory processes within cells to increase the cells' production of a certain substance. Metabolic engineers commonly work to reduce cellular energy use (ie, the energetic cost of cell reproduction or proliferation) and to reduce waste production. Producing beer, wine, cheese, pharmaceuticals, and other biotechnology products often involves metabolic engineering.
Integration of metabolic pathway engineering and fermentation production technologies is necessary for the successful commercial production of chemicals. The 'toolbox' to do pathway engineering is ever expanding to enable mining of biodiversity, to maximize productivity, enhance carbon efficiency, improve product purity, expand product lines, and broaden markets. Functional genomics, proteomics, fluxomics, and physiomics are complementary to pathway engineering, and their successful applications are bound to multiply product turnover per cell, channel carbon efficiently, shrink the size of factories
# Tool and Applications
It covers applications of emerging technologies including recent research genome-wide technologies, DNA and phenotypic microarrays, and proteomics tools for experimentally determining flux through pathways. Emerging applications include producing fine chemicals, drugs, and alternative fuels.

VI. Ligand library generation
There has been a rapid growth of interest in techniques for site-directed drug design, fuelled by the increasing availability of structural models of proteins of therapeutic importance.

Studies reported in the literature showing that potent chemical leads can be obtained by this technique, ligand library generation. This structure generation programs offer the prospect of discovering highly original lead structures from novel chemical families.
Eg:
Virtual database assembly: A database which has crucial activity as it enables access to the large number of drug- like molecules that could theoretically be made... can serve several purposes: for example, to generate a maximally diverse virtual library for lead generation, a biased library aimed at a specific target or target family, or a lead optimization library.
# Bioinformatics Application
The impact of bioinformatics on drug discovery advances in chemical lead discovery and pharmacophore-based approaches to drug design.


VII. Biostatistics
Biostatistics is the fields that use statistical methods and mathematics to better understand biology.
Statistical methods are beginning to be integrated into medical informatics, public health informatics, and bioinformatics
# Bioinformatics Application
Applying (Statistical packages:SPSS, STATA etc) statistical principles on design, analysis, and state-of-the-art information management systems to advance biomedical research and raise the clinical trial standards;
Carrying out revolutionary and high quality research on bioinformatics and statistical genetics to advance biotechnology and genomic medicine;
Conducting high quality theoretical and methodological research on biomedical statistics and bioinformatics.
  DEPARTMENT ACTIVITIES
Out-door performance:

# On July, 2009, attended a National Symposium on "Prospective aspects of Microbial diversity”, at Standard Fireworks Rajaratnam College for Women, Sivakasi.

# On August 2009, participated a National Symposium on "Zavest-09” Satyabama University, Chennai.

#On Dec 2009, participated in KAAS 2009 at Holy Cross college, Nagercoil.


In-door performace:

#On January 2010 , Biotrix association was conducted by Biosciences team groups at Noorul Islam College of Arts and science, Kumaracoil, Thuckalay.



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