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Prediction of Peptide’s Secondary, Tertiary Structure and Their Properties Using Online Tools

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Delivery Mode
Virtual (Google Meet)
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Level
Beginners
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Duration
3 Days (1.5 Hours/Day)
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Certificate
Mentor Based
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Language
English
Rating
5 Stars
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About Workshop

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.
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Aim

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

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

Important Dates

Registration Ends

07:00 PM

Workshop Dates

2024-08-20
08:00 PM onwards
08:00 PM onwards
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What You Will Gain

Sample Certificate
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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.
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Who Should Attend

  • 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.

Dr. Md Afroz Alam

Professor and Head

Speciality: Bioinformatics, Protein Modeling, Structural Analysis, Online Tool Utilization, Molecular Modeling

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