UCSD Pharm 201

Predicting DNA-Binding using 3D structures and PWMs

shawnyost — Fri, 09 Jan 2009 02:12:41 -0800

SciVee Conferences Demo

Predicting Autoreactivity of Antibodies Elicited with Synthetic Peptide Vaccines

Phil — Mon, 15 Dec 2008 06:15:37 -0800

This is a UCSD Pharm 201 Final Exam Project see http://www.sdsc.edu/pb/edu/pharm201/

UCSD Pharm 201

CD1 Lipid Antigen-based Biasing of Natural Killer T Cells

jason.m.bechtel — Sun, 14 Dec 2008 15:40:47 -0800

This presentation speculates on how we might model the presentation of lipid antigens by the CD1 major histocompatibility complex and find correlations with the subsequent biasing of cytokine secretions in natural killer T cells. It is widely suspected that this system has great therapeutic potential, for which there is already some supporting data.

UCSD Pharm 201

Bridging the Gap Between Structure and Function of Protein Binding Modules

boyko — Sat, 13 Dec 2008 19:37:29 -0800

Structural Biology and Systems Biology are two historically separate fields of research, which nonetheless have an intimate connection, much like Physics and Chemistry (Bottom-up and top down, explorative vs. . I propose a study of modular protein binding domains which combines data and analysis methods from both fields in oder to increase the accuracy of existing models and enable a novel multi-scale approach to investigation of biological systems.

UCSD Pharm 201

Prions: Secondary swapping method for crossing dressing prions

Thomasng — Sat, 13 Dec 2008 01:57:32 -0800

self-explanatory

SciVee Conferences Demo

Improving Drug DesignThrough Off Targets

Malith Karunasiri — Sat, 13 Dec 2008 01:47:35 -0800

Karunasiri Pharm 201 Final

SciVee Conferences Demo

Protein Dynamics Studies of Structure-Switching in Lymphotactin

MaxShokhirev — Fri, 12 Dec 2008 20:14:42 -0800

UCSD Pharm 201

Protein Disorder and the Evolution of Eukaryotes (take 2)

allanwu — Fri, 12 Dec 2008 17:44:37 -0800

Protein Disorder and the Evolution of Eukaryotes (take 2)

UCSD Pharm 201

Conditional Structure Protein Clustering

nlhepler — Fri, 12 Dec 2008 07:14:39 -0800

I describe a protein structure model that borrows the Conditional Observations aspect from Conditional Random Fields and apply it to protein clustering.

UCSD Pharm 201

Probabilistic Dynamics

brazilbean — Fri, 12 Dec 2008 05:07:54 -0800

Gordon Bean's Pharm 201 Final

UCSD Pharm 201

Detecting RNA-Ligand Binding Partners and Sites by Mechanical Unfolding (by Joshua Lerman)

jlerman44 — Thu, 11 Dec 2008 19:23:39 -0800

Final project for PHARM 201 (Instructor: Philip Bourne)
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Detecting RNA-Ligand Binding Partners and Sites by Mechanical Unfolding (by Joshua Lerman)

UCSD Pharm 201