Stanford Root

Schedule

Stanford Root

Schedule

BMDS 245

Computational Biology: Structure and Organization of Biomolecules and Cells (BIOE 279, BIOPHYS 279, CME 279, CS 279)

UNITS:3
GRADING:Medical Option (Med-Ltr-CR/NC)
LEVEL:Graduate
GER:—

Computational techniques for investigating and designing the three-dimensional structure and dynamics of biomolecules and cells. These computational methods play an increasingly important role in drug discovery, medicine, bioengineering, and molecular biology. Course topics include protein structure prediction, protein design, drug screening, molecular simulation, cellular-level simulation, image analysis for microscopy, and methods for solving structures from crystallography and electron microscopy data. Prerequisites: elementary programming background (CS 106A or equivalent) and an introductory course in biology or biochemistry.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

1 Term
Lecture 1Open
ID: 28254
0 / 80 enrolled
DAYS:Tuesday, Thursday
TIME:3 PM – 4:20 PM
LOCATION:Packrd101
INSTRUCTOR:
Dror, Ron
3units

BMDS 245: Computational Biology: Structure and Organization of Biomolecules and Cells (BIOE 279, BIOPHYS 279, CME 279, CS 279)

3 units · Medical Option (Med-Ltr-CR/NC)

Computational techniques for investigating and designing the three-dimensional structure and dynamics of biomolecules and cells. These computational methods play an increasingly important role in drug discovery, medicine, bioengineering, and molecular biology. Course topics include protein structure prediction, protein design, drug screening, molecular simulation, cellular-level simulation, image analysis for microscopy, and methods for solving structures from crystallography and electron microscopy data. Prerequisites: elementary programming background (CS 106A or equivalent) and an introductory course in biology or biochemistry.

Offered in Autumn 2026 at Stanford University.

Autumn 2026 sections

  • Lecture — Tuesday Thursday 3:00 PM – 4:20 PM — Packrd101 — Dror, Ron (Graduate)

More BMDS courses

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  • BMDS 237: Outcomes Analysis (HRP 252, MED 252)
  • BMDS 238: Using Real-World Data for Clinical and Population Health Research  (EPI 265, PSYC 265)
  • BMDS 241: Intermediate Biostatistics: Analysis of Discrete Data (EPI 261, STATS 261)
  • BMDS 243: Foundations of Statistical and Scientific Inference (EPI 264, STATS 264)
  • BMDS 244: Methods for Reproducible Population Health and Clinical Research (CS 272H, EPI 203, HRP 203)
  • BMDS 246: Meta-research: Appraising Research Findings, Bias, and Meta-analysis (CHPR 206, EPI 206, MED 206, STATS 211)
  • BMDS 250: Clinical Trial Design in the Age of Precision Medicine
  • BMDS 252: Survival Analysis (STATS 331)
  • BMDS 260: Computational Methods for Biomedical Image Analysis and Interpretation (BMP 260, CS 235, RAD 260)
  • BMDS 271: Foundation Models for Healthcare (CS 277, RAD 271)
  • BMDS 272: Healthcare Acceleration: Artificial Intelligence (DESIGN 266)

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