Intellex Acquires Expert by Big Village

We're thrilled to announce that Intellex has acquired Expert by Big Village, effective March 22, 2024. This strategic move enhances our capabilities and strengthens our commitment to delivering exceptional solutions to our customers.

Stay tuned for more updates on how this acquisition will benefit our clients and experts.

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Expert Details

Computational Biology: Antibody Modeling, Antibody-Antigen Interaction, Protein Structure Prediction

ID: 729269 Massachusetts, USA

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Expert has developed a state of the art antibody variable region (Fv) modeling tool: RosettaAntibody. He also maintains a server. He has also developed a strategy for predicting structures of antibody-antigen interaction complexes. He has extesive expertise in the Rosetta biomolecular structure prediction suite. Additionally he has taken part in the CAPRI challenge for prediction of protein-protein interaction complexes, and some of his predictions has been the most accurate amongst the ones submitted.

Education

Year Degree Subject Institution
Year: 2010 Degree: PhD Subject: Chemical & Biomolecular Engineering Institution: Johns Hopkins University
Year: 2004 Degree: M. Tech Subject: Biotechnology and Biochemical Engineering Institution: Indian Institute of Technology (IIT) Kharagpur
Year: 2004 Degree: B. Tech Subject: Biotechnology and Biochemical Engineering Institution: Indian Institute of Technology (IIT) Kharagpur

Work History

Years Employer Title Department
Years: 2010 to Present Employer: Undisclosed Title: Post Doc: Computational Scientist: Antibody Design Department: Protein Engineering & Antibody Technology
Responsibilities:
Develop novel strategies for increasing antibody efficacy.
Years Employer Title Department
Years: 2004 to 2010 Employer: Johns Hopkins University Title: Graduate Research Assistant Department: Chemical & Biomolecular Engg
Responsibilities:
Developed antibody homology modeling algorithms: RosettaAntibody (http://antibody.graylab.jhu.edu), protocol for backbone flexible antibody-antigen interaction complex prediction: SnugDock
Years Employer Title Department
Years: 2003 to 2003 Employer: University of Cambridge Title: Summer Intern Department: Biochemistry
Responsibilities:
Project: Structural assignment for the Drosophila genome and mapping of known mutations
The work comprised of bioinformatics involving high throughput modeling and automatic analysis of results to generate useful statistics. The programming was mainly carried out in Perl and Python, with MySQL being used to store the data.
Years Employer Title Department
Years: 2002 to 2002 Employer: National Center for Biological Sciences (NCBS) Title: Summer Intern Department:
Responsibilities:
Project: Delving Deep into Deep Orange and Carnation from a Computational Viewpoint
The work involved modeling (using MODELLER) of the two Drosophila proteins Deep Orange and Carnation and finally docking them to find out the interacting regions (using GRAMM).
Years Employer Title Department
Years: 2001 to 2001 Employer: Tata Institute of Fundamental Research (TIFR) Title: Visiting Summer Research Program Student Department: Biological Sciences
Responsibilities:
Projects:
1) An attempt to find genes responsible for synaptic transmission using Drosophila melanogaster as a model system.
The work involved extensive Fly Pushing and screening flies for phototactic and paralytic defects.
2) Effect of Conus toxins on Drosophila melanogaster

Career Accomplishments

Associations / Societies
Sigma Xi, ACS, AIChE, Biophysical Society
Awards / Recognition
Rob Roy Fellowship
Publications and Patents Summary
He has been invited to write a book chapter on antiody modeling to be published in May, 2011. Additionally he has seven international peer-reviewed publications on computational structural bioinformatics with a focus on prediction of structures of antibody and antibody-antigen complexes.

Language Skills

Language Proficiency
Hindi
Bengali Native Speaker
English

Fields of Expertise

antibody, antibody production, protein structure prediction, homology

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