MCB128: AI in Molecular Biology (Spring 2026)

(Under construction)



__block 0: 26-30 Jan
A single neuron
[b0 Homework]
[b0 Lecture notes]
[[b0 Lecture slides]]
[[b0 Answers]]
__b0-w1: 26,28,30 Jan
A single neuron / RNA functional classification
[[b0-w1 Section slides]]

__block 1: 02-13 Feb
Feed Forward Networks
[b1 Lecture notes]
[[b1 Lecture slides]]
[[b1 Homework]]
[[b1 Answers]]
__b1-w1: 02,04,06 Feb
Multilayer perceptron / Protein 2D structure
[[b1-w1 Section slides]]
__b1-w2: 09,11,13 Feb
Fundamentals of neural network training
[[b1-w2 Section slides]]

__block 2: 18-27 Feb
CNNs/RNNs and DNA/RNA binding motifs
[b2 Lecture notes]
[[b2 Lecture slides]]
[[b2 Homework]]
[[b2 Answers]]
__b2-w1: 18,20 Feb
Convolutional neural networks (CNNs)
[[b2-w1 Section slides]]
__b2-w2: 23,25,27 Feb
Residual networks (RN) and Recurrent neural netowrks (RNNs)
[[b2-w2 Section slides]]

__block 3: 02-13 Mar
Attention/Transformers
[[b3 Lecture notes]]
[[b3 Lecture slides]]
[[b3 Homework]]
[[b3 Answers]]
__b3-w1: 02,06 Mar
Attention/Transformers
[[b3-w1 Section slides]]
__b3-w2: 09,11,13 Mar
Protein folding/AlphaFold2
[[b3-w2 Section slides]]

__block 4: 23-03 Mar-Apr
Large language models (LLMs)
[[b4 Lecture notes]]
[[b4 Lecture slides]]
[[b4 Homework]]
[[b4 Answers]]
__b4-w1: 23,25,27 Mar
LLMs
[[b4-w1 Section slides]]
__b4-w2: 30,01,03 Mar-Apr
LLMs for DNA, RNA, Protein, genomes
[[b4-w2 Section slides]]

__block 5: 06-17 Apr
AutoEncoders, Variational AutoEncoders
[[b5 Lecture notes]]
[[b5 Lecture slides]]
[[b5 Homework]]
[[b5 Answers]]
__B5-w1: 06,08,10 Apr
AutoEncoders/ scRNA-seq
[[b5-w1 Section slides]]
__b5-w2: 13,15,17 Apr
Variational AutoEncoders / cryoEM
[[b5-w2 Section slides]]

__block 6: 20-29 Apr
Generative neural networks
[[b6 Lecture notes]]
[[b6 Lecture slides]]
[[b6 Homework]]
[[b6 Answers]]
__b6-w1: 20,22,24 Apr
Diffusion models / Protein design
[[b6-w1 Section slides]]
__b6-w2: 27,29 Apr
Graph neural networks / Antibiotic discovery
[[b6-w2 Section slides]]