Current lab members

  • Chris Bailey-Kellogg
  • Yoonjoo Choi
  • Karen Dowell
  • Lu He
  • Li Jiang
  • Deeptak Verma

Highlighted projects

  • deimmunization
  • antibody effector functions
  • MHC:peptide:TCR
  • graphical models
  • recombination
  • oligomer

Current/upcoming classes

Winter 2014: Problem Solving (CS 10)
CS 10

Recent papers

  • Polyfunctional Fc-Effector Profiles Mediated by IgG Subclass Selection Distinguish RV144 and VAX003 Vaccines
  • Stoichiometries and affinities of interacting proteins from concentration series of solution scattering data:  Decomposition by least squares and quadratic optimization
  • Integrated assessment of predicted MHC binding and cross-conservation with self reveals patterns of viral camouflage
  • Learning sequence determinants of protein:protein interaction specificity with sparse graphical models
  • Divergent antibody subclass and specificity profiles but not protective HLA-B alleles are associated with variable antibody effector function among HIV-1 controllers
  • Improved Multiple Sequence Alignments using Coupled Pattern Mining

[more...]

News

Apr 15More congratulations to the lysostaphin team, on acceptance of "Structure-based Redesign of Lysostaphin Yields Potent Anti-Staphylococcal Enzymes that Evade Immune Cell Surveillance" to Molecular Therapy - Methods & Clinical Development
Apr 15Congratulations to Hongliang, Wen, et al. from Karl Griswold's lab on the experimental side, and Deep and Yoonjoo on the computational side, on acceptance of "Depletion of T cell epitopes in lysostaphin mitigates anti-drug antibody response and enhances antibacterial efficacy in vivo" to Chemistry & Biology
Mar 15Congratulations to Matt, who finished off his senior thesis and is heading down to work with the Talkowski lab at MGH
Mar 15Welcome to first-year CS PhD student Srivamshi Pittala, who will do a research project with us this spring
Feb 15The NIH has awarded an STTR grant to us and our good friends at Stealth Biologics, to continue the development of lysostaphin, a potent anti-staphylococcal enzyme
Feb 15Congratulations to Ickwon, whose paper "Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees" was accepted to PLOS Computational Biology

[more...]

Contact

cbk -at- cs -dot- dartmouth -dot- edu
6211 Sudikoff Lab, Hanover, NH 03755, USA
Sudikoff Lab (corner of Maynard & College), room 250
603-646-3385