Biotech Internship on Molecular Artificial Intelligence

 

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Mode: Online

MOLECULAR ARTIFICIAL INTELLIGENCE (AI)

One Month Online Training

Key Features: Recorded Lectures, Practices on biological (tools) software, Training Report, Online Test

Certificate will be provided

TOPICS & TOOLS (SOFTWARE) TO BE COVERED

✅ WEEK 1: INTRODUCTION TO MOLECULAR AI

Goal: Understand basic concepts of Molecular Biology, AI, and their intersection.

🔬 Molecular Biology Essentials

• Central Dogma (DNA → RNA → Protein)
• Gene structure and regulation
• Primer Designing, sequencing, In-silico electrophoresis

Artificial Intelligence Basics

• Introduction to AI, ML and DL
• Types of Learning: Supervised, Unsupervised, Reinforcement
• Concepts: Algorithms, Neural Networks, Decision Trees

✅ WEEK 2: BIOINFORMATICS TOOLS FOR GENOMICS

Goal: Learn how AI supports genomics using bioinformatics tools.

🔧 Tools:

• NCBI, Protein Ensembl
• BLAST, mmseq2 (sequence alignment)
• Geneid , Genscan
• PSA, MSA
• RNA Secondary Structure Prediction

✅ WEEK 3: PROTEOMICS AND STRUCTURE PREDICTION

Goal: Apply AI tools in protein structure, function, and interaction.

🔧 Tools:

• UniProt, PDB, Swiss-Model, AlphaFold
• STRING, Cytoscape (for protein interaction networks)
• Protein Visualization

✅ WEEK 4: AI IN DRUG DISCOVERY AND SYSTEMS BIOLOGY

Goal: Explore AI-based drug design and integrative biology.

🔧 Tools:

• CBDock, PyRx (Molecular docking)
• PubChem, DrugBank, KEGG
• Enzyme, Brenda