Workshop Registration End Date :2024-06-27

Virtual Workshop

Prediction of Protein Structure Using AlphaFold: An Artificial Intelligence (AI) Program

Unlocking Protein Structures: Harnessing AI with AlphaFold

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MODE
Virtual (Google Meet)
TYPE
Mentor Based
LEVEL
Beginners
DURATION
3 Days (1.5 Hours/Day)
Start Date
27 – Jun – 24
Time
08:00 PM onwards IST

About

Proteins are important gears of life and in order to understand the functions of proteins at a molecular level, it is necessary to determine its 3D structure which enables researchers to get an insight into its function and their role, or more, specific spatial conformations to perform its biological function, driven by a number of noncovalent interactions. AlphaFold is an artificial intelligence (AI) system, industrialized by Google DeepMind, that predicts a protein’s 3D structure based on its primary amino acid sequence. It regularly achieves accuracy competitive with experimental results.

Aim

This workshop aimed at researchers who are attentive in using AlphaFold2 to predict protein structures and integrate these predictions into their ventures.

Workshop Objectives

  • To provide an understanding of the fundamental concepts behind AlphaFold2.
  • To evaluate predicted structures from AlphaFold2 by integrating the different confidence metrics

Workshop Structure

Day 1:

  • Protein Structure Overview
  • Protein and their structure Online tools
  • Protein Folding problems and role of AI

Day 2:

  • Overview of AlphaFold
  • Introductory guide to AlphaFold
  • AlphaFold strength and limitation

Day 3:

  • Structure prediction withAlphaFold
  • Protein Structure Prediction AlphaFold, online tool for validation

Participant’s Eligibility

  • Undergraduate degree in Biology, Bioinformatics, Computational Biology, or related fields.
  • Professionals in the biotechnology, pharmaceutical, or healthcare industries.
  • Researchers and academics with a focus on molecular biology and structural biology.
  • Individuals with a keen interest in AI applications in life sciences.

Important Dates

Registration Ends

2024-06-27
Indian Standard Timing 07:00 PM

Workshop Dates

2024-06-27 to 2024-06-29
Indian Standard Timing 08:00 PM onwards

Workshop Outcomes

  • Mastery of AlphaFold for protein structure prediction.
  • Enhanced understanding of AI applications in molecular biology.
  • Practical experience with computational tools.
  • Ability to contribute to cutting-edge research.
  • Improved career prospects in biotech and pharma industries.
  • Development of job-ready skills in bioinformatics

Mentor Profile

AFROZ ALAM scaled
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.

Fee Structure

Student

INR. 1399
USD. 50

Ph.D. Scholar / Researcher

INR. 1699
USD. 55

Academician / Faculty

INR. 2199
USD. 60

Industry Professional

INR. 2699
USD. 85

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Certificate

wsCertificate

  • Access to Live Lectures
  • Access to Recorded Sessions
  • e-Certificate
  • Query Solving Post Workshop

Future Career Prospects

  • Bioinformatics Specialist
  • Structural Biologist
  • Computational Biologist
  • Drug Discovery Scientist
  • Biotechnology Researcher
  • Academic Researcher

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