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 / DNA functional classification; [Lecture notes]; [Lecture slides]; [Section slides]

__block 1: 02-13 Feb: Perceptrons; [Homework]; [Answers]
__b1-w1: 02,04,06 Feb: Multilayer perceptron / Protein 2D structure; [Lecture notes]; [Lecture slides]; [Section slides]
__b1-w2: 09,11,13 Feb: Backpropagation; [Lecture notes]; [Lecture slides]; [Section slides]

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

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

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

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

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