Bioinformatics professional with 1 month industrial training in Drug Designing Resumes in India-Tamilnadu: Tamizh muhil

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Contact Candidate

Name:

Tamizh muhil

Location:

India-Tamilnadu

Experience:

Willing to Relocate:

Willing to Travel:

Most Recent Job Title:

Bioinformatics professional with 1 month industrial training in Drug Designing

Personal Website:

Objective:

To work in a challenging environment where my skills are utilized for the development of the organization.

Resume Text:

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6%
Sri Ramakrishna College of Arts and Science for Women,
Affiliated to Bharathiar University,
Coimbatore.

 B.Sc (Information Technology) (2002-2005) 59%
V.V.Vanniaperumal College for Women,
Affiliated to Madurai Kamaraj University.
Virudhunagar.

 Higher Secondary (2000-2002) 78%
Sri Gopal Naidu Higher Secondary School,
Peelamedu,
Coimbatore-641004.
 SSLC (1999-2000) 86%
Sri Gopal Naidu Higher Secondary School,
Peelamedu,
Coimbatore-641004.

Current Academic Profile

I Semester - 68.4 % II Semester - 77.17 % III Semester - 61%
IV Semester - 95.67%

Skill Set

1. Front End VB6.0
2. Backend SQL Server 7.0, Oracle 8.0, MS Access
3. Languages C, C++, Java, HTML, PERL, COBOL, Visual Basic
4. Operating System Windows, MS-DOS, Sun Solaris (Unix)
5. Packages Word Processing, Office 2000
6. Bioinformatics Softwares ClustalX, ClustalW (Alignment tools),
Swiss PDB Viewer, Emboss, Rasmol, Modeller
Hex Docking Software, ISIS draw, Chemsketch, Web lab Viewer, Cn3d, Phylodraw, Biodesigner

Seminars and Workshops

Attended the National level Workshop on X-Ray Crystallography at
Sri Ramakrishna College of Arts and Science for Women.

Achievements

• 100 % attendance in I & II semesters (M.Sc).
• Secured first mark in Programming in C and PERL (I semester), Programming in VB with RDBMS (II semester) in M.Sc., (Bioinformatics).

Mini Projects

Developed a Digital Audio Player in JAVA.
Designed primers for the diseased genes.

Academic Projects

• Insilico Expression Profiling through Codon Bias Detection of Mycobacterium tuberculosis (CDC 1551) Metabolic pathway genes and Novel Drug Target Identification. (Details Enclosed)

Memberships

Active student member of Career Forum.

In-Plant Training

• 15 days training at Mezoblanca Solutions Pvt. Ltd., at PSG Step Software Park-II, Peelamedu, Coimbatore in May 2004.
• 1 month training in Drug Designing and Drug Target Identification at Sai’s Biosciences Research Institute Pvt.Ltd., Erode in May 2006.

Area of Interests

Drug Designing, Software Development in Bioinformatics, Proteomics, Molecular Modeling, Bioinformatics Algorithm development.

Hobbies

Painting, Gardening, Writing, Net Surfing.

Languages known

Read: English, Tamil.
Write: English, Tamil.
Speak: English, Tamil.

Personal Strengths

 Excellent Presentation skills
 Working for results with dedication & determination.

Reference

Prof.Dr.N.Santhi, M.Sc., Ph.D.,
Department of Biochemistry & Bioinformatics,
Sri Ramakrishna College of Arts and Science for Women,
Coimbatore.

Personal Profile

Age &Date Of Birth: 21 yrs, 1st July 1985
Gender: Female
Father’s Name: Mr.P.M.Pragasam
Occupation: Business.

Place: Coimbatore. Signature:
Date: Name : P.Tamizh Muhil

Academic Projects

• Insilico Expression Profiling through Codon Bias Detection of Mycobacterium tuberculosis (CDC1551) metabolic pathway genes and novel drug target identification.

Aim:

The main aim of this project is to identify a potent drug target for CDC1551 strain of Mycobacterium tuberculosis.

Description:

This project is designed in order to identify a potent drug target for the CDC1551 strain of Mycobacterium tuberculosis. The major metabolic pathways involved in the strain are studied and the genes involved in the pathways are identified. The major metabolic pathways studied are Glycolysis, Gluconeogeneis, TCA Cycle, Pentose Phosphate Pathway, Thiamine metabolism, Riboflavin Metabolism, Urea Cycle, Ubiquinone Biosynthesis, Purine Metabolism, Pyrimidine metabolism. The expression profiles of the genes are identified by calculating the AT, GC content and the AT, GC Skewness of the nucleotide sequences of the genes involved in the metabolic pathways. The Codon Usage Table (CUSP) and the Codon Adaptation Index (CAI) values are calculated using the EMBOSS programs. The protein that shows highest CAI value is found to be highly expressed in the metabolic pathway since the CAI value is the simple, effective measure of the codon usage bias. The protein that is expressed in the diseased metabolic pathway is identified and the properties of the protein are studied.

Conclusion:
In future a drug can be designed to target the protein that inhibits the activity of the protein.