Proteins are an important class of biological macromolecules present in all biological organisms. All proteins are polymers of 20 different amino acids. Proteins fold into one, or more, specific spatial conformations to perform its biological function, driven by a number of noncovalent interactions. In order to understand the functions of proteins at a molecular level, it is necessary to determine its 3D structure. Thus, protein sequence (primary and secondary) and protein secondary structure prediction is an important part of analysis in proteomics. This will lead to predict and analyze the 3D structure (Molecular Modeling and Structure Prediction) of a protein.

Aim

The aim is to predict the characterization, post translational site, topology, secondary and tertiary structure of a given protein sequence.

Enroll Now Explore More

Workshop Objectives

To generate the physiochemical properties, solubility and antigenicity of a protein sequence.
To predict the secondary and tertiary structure of peptide.

Workshop Structure

Day 1: Characterization of peptide

Physiochemical properties generation using Expasy ProtParam online server
Solubility and Antigenicity Prediction using SolPro and Vaxijen v2.0 Online Server Online tool

Day 2: Secondary and Tertiary Structure Prediction

Alpha helices, beta sheets, turn and coil using Gor IV online server
Tertiary structure prediction using PEP-FOLD3 online server

Day 3: Transmembrane Helices Prediction and Structure visualization

Generation of the number of transmembrane helices using TMHMM Server v. 2.0
3D Structure Visualization of peptide using Visualization tool

Participant’s Eligibility

Undergraduate degree in Biotechnology, Biochemistry, or related fields.
Professionals in the pharmaceutical or biotech industries.
Individuals with a keen interest in structural biology and proteomics.

Important Dates

Registration Ends

2024-08-08
Indian Standard Timing 07:00 PM

Workshop Dates

2024-08-08 to 2024-08-10
Indian Standard Timing 08:00 PM onwards

Workshop Outcomes

Enhanced understanding of peptide physiochemical properties and solubility.
Ability to predict secondary and tertiary structures of peptides.
Proficiency in using online tools for structural predictions.
Skills in visualizing and analyzing 3D peptide structures.
Practical knowledge applicable to bioinformatics and structural biology research.

Mentor Profile

Name: Dr. Md Afroz Alam
Designation: Professor and Head
Affiliation: Department of Bioinformatics, Shalom New Life College, Bengaluru, Karnataka

Dr. Md Afroz Alam is a Professor and Head in the Department of Bioinformatics, at Shalom New Life College, Bengaluru, Karnataka. He received his Ph.D. Degree in Bioinformatics from Jaypee University of Information Technology, Solan, Himachal Pradesh in 2009. Then he has worked as Assistant Professor, Head and Program Coordinator in the Department of Bioinformatics at Karunya Institute of Technology and Sciences (Deemed University) for 11 Years. He is having 14 years of teaching and research experience in the field of Bioinformatics. His area of expertise includes: Computer Aided Drug Design, Molecular Modeling and Simulation, QSAR and Pharmacophore modeling, Biostatistics, R programming, Unix and Linux. He is the author of 24 research articles, 2 Book Chapter, recipient of short-term research grants, workshop grants, and National Youth leader award by Ministry of Youth Affairs and Sports under the National Service Scheme, Government of India.