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MUHAMMAD NASIR I. に連絡

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プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

MUHAMMAD NASIR I.に依頼

Pakistan

I am expert in molecular docking, virtual screening, protein structure prediction, MD Simulations and Python.

プロフィール概要

At COMSATS University Islamabad, Islamabad Campus, I earned a master's degree in bioinformatics. Currently employed as a lecturer at The Islamia University Bahawalpur, Pakistan. I specialize in computer-assisted drug design, specifically Docking and MD Simulation. I researched on a deep learning technique to retro-synthetic analysis. My main goal was to devise a mechanism for improving synthon prediction accuracy. My final year research project in BS was development of “BMT: Bioinformatics Mini Toolbox. A tool for comprehensive genomics and proteomics analysis”. I published its paper as first author in Genomics having 6.25 impact factor. On the basis of CGPA, I was one of the top students in my class and won silver medal. Along with my study, I also worked as Research Assistant at CUI, Sahiwal Campus under the project of HEC, titled “Inhibition of 2C Coxsackie B virus protein to decrease pathogenicity of diabetes mellitus Type1”. I am hard working, focused and fully dedicated to my study and research.

専門分野

サービス

Writing
Research
Consulting
Data & AI
Product Development

Writing Technical Writing

Research Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Algorithm Design-Non ML

Product Development Formulation

職務経験

Research Assistant

HEC, Pakistan

7月 2018 - 12月 2018

Research Assistant

COMSATS University Islamabad

6月 2018 - 12月 2018

学歴

MS Bioinformatics

COMSAST University Islamabad, Islamabad Campus

2月 2019 - 現在

MS Bioinformatics (Biosciences)

COMSATS University Islamabad

2月 2019 - 現在

BS Bioinformatics (Biosciences )

COMSATS University Islamabad

2015 - 2019

認定資格

認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

(2020). BMT: Bioinformatics mini toolbox for comprehensive DNA and protein analysis . Genomics.

(2019). Inhibition of 2C Coxsackie B virus protein to decrease pathogenicity of diabetes mellitus Type1 . Current computer-aided drug design.