MCB128: AI in Molecular Biology (Spring 2026)

(Under construction)

__block 0: 26-30 Jan: A single neuron; [Homework]; [[Answers]]
__b0-w1: 26,28,30 Jan: A single neuron / RNA functional classification; [Lecture notes]; [[Lecture slides]]; [[Section slides]]

__block 1: 02-13 Feb: Feed Forward Networks; [Lecture notes]; [[Homework]]; [[Answers]]
__b1-w1: 02,04,06 Feb: Multilayer perceptron / Protein 2D structure; [[Lecture slides]]; [[Section slides]]
__b1-w2: 09,11,13 Feb: Fundamentals of neural network training; [[Lecture slides]]; [[Section slides]]

__block 2: 18-27 Feb: CNNs/RNNs; [[Lecture notes]]; [[Homework]]; [[Answers]]
__b2-w1: 18,20 Feb: Convolutional neural networks (CNNs); [[Lecture slides]]; [[Section slides]]
__b2-w2: 23,25,27 Feb: Recurrent neural netowrks (RNNs); [[Lecture slides]]; [[Section slides]]

__block 3: 02-13 Mar: Attention/Transformers; [[Lecture notes]]; [[Homework]]; [[Answers]]
__b3-w1: 02,06 Mar: Attention/Transformers; [[Lecture slides]]; [[Section slides]]
__b3-w2: 09,11,13 Mar: Protein folding/AlphaFold2; [[Lecture slides]]; [[Section slides]]

__block 4: 23-03 Mar-Apr: Large language models (LLMs); [[Lecture notes]]; [[Homework]]; [[Answers]]
__b4-w1: 23,25,27 Mar: LLMs; [[Lecture slides]]; [[Section slides]]
__b4-w2: 30,01,03 Mar-Apr: LLMs for DNA, RNA, Protein, genomes; [[Lecture slides]]; [[Section slides]]

__block 5: 06-17 Apr: AutoEncoders, Variational AutoEncoders; [[Lecture notes]]; [[Homework]]; [[Answers]]
__B5-w1: 06,08,10 Apr: AutoEncoders/ scRNA-seq; [[Lecture slides]]; [[Section slides]]
__b5-w2: 13,15,17 Apr: Variational AutoEncoders / cryoEM; [[Lecture slides]]; [[Section slides]]

__block 6: 20-29 Apr: Generative neural networks; [[Lecture notes]]; [[Homework]]; [[Answers]]
__b6-w1: 20,22,24 Apr: Diffusion models / Protein design; [[Lecture slides]]; [[Section slides]]
__b6-w2: 27,29 Apr: Graph neural networks / Antibiotic discovery; [[Lecture slides]]; [[Section slides]]