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

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.

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

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

• 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.

• 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.