- COMSATS Institute of Information Technology

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Annam Hussain
Career Objective:
To develop expertise in teaching and scientific research through dedication, high moral
values, honesty and ‘to make a difference by innovative ideas & hard work.
Present Address:
Fateh Sher Colony, Street No. 3, House No. 347, Sahiwal
Punjab, Pakistan.
Permanent home address:
Basti Massoo Shah, P/O Shehr Sultan, Moza Kotla Lal Shah,
Tehsil Jatoi, Districts Muzaffar Garh. Province Punjab, Pakistan
Date of Birth:
October 10, 1992
National ID No.
32302-1727967-9
Passport No.
AG1029672
Expiry of Passport: 14th July 2015
Cell No.
+923318708066
Email: anam.hussain63@yahoo.com
Education
Degree/Certificate
Institution
Marks
(CGPA/%age)
B.S (Bioinformatics)
COMSATS Institute of Information
and Technology, Sahiwal
3.21
2010-2014
Intermediate (Pre-Medical))
Govt. College Multan, Pakistan
75%
2008-2010
Matriculation (Science)
Govt Higher Secondary School,
Ali Pur, Pakistan
86%
2006-2008
BS Project Title
Structural characterization of disease-causing sites on Lys-R type Toxoflavin (ToxR)
regulatory protein and the functional impact in plant and human pathogenic bacteria B.
glumae
Publications
1. Liu H†, Ibrahim M†, Qiu H, Kausar S, Ilyas M, Cui Z, Hussain A, Li B,
Waheed A, Zhu B*, Xie G (2014). Protein profiling analyses of the outer
membrane of Burkholderia cenocepacia reveal a niche-specific proteome.
Microbial Ecology. First online
IF3.2
2. Ibrahim M, Tao Z, Hussain A, Chunlan Y, Ilyas M, Waheed A,Li B, Xie GL.
(2014). Deciphering the role of Burkholderia cenocepacia membrane proteins
in antimicrobial properties of chitosan. Arch. Microbiol. 196:9-16.
IF 1.9
Under pipeline
3. Annam Hussain, Faryal Naeem, Mehmoona Ilyas, Samina Kausar, Abdul
Waheed, Muhammad Ibrahim, Li Bin Genome wide comparison and protein
structural characterization of Burkholderia glumae human and plant pathogenic
bacterium.
4. Mehmmona Ilyas, Muhammad Waqas, Annam Hussain, Amina Ahmed,
Muhammad Ibrahim, Abdul Waheed and Li Bin. Genome wide analysis and
characterization of type six secretion system of Burkholderia cepacia complex
5. Muhammad Ibrahim, Mehmoona Ilyas, Annam Hussain, Abdul Waheed,
Samina Kausar, In silico analysis of type six secretion system of Dickyea zea
plant pathogenic bacterium genomes
Bioinformatics Skills
Protein Modeling, Protein Structure prediction, Energy minimization, Multiple
Sequence Alignment, Motif Prediction, Domain Identification, Genome
Assembly, Genome Annotation and Analysis, Model Refinement and
Evaluation, Ramachandran Plot, Prediction of Phosphorylation sites, Prediction
of binding Pocket, Java Language, C ++ language, Met lab, Database, Artificial
Intelligence.
Key courses Taught
Structural
Bioinformatics,
Bioinformatics
analysis,
Introduction
of
Bioinformatics, Database, C++, Biostatistics, Molecular Biology, Object oriented
Programming and Artificial intelligence.
References
RE
Dr.Shazia Mannan
Dr. Muhammad Ibrahim
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