username |
register
password |
forget?
Channels
Upload
Browse
journals
conferences
pubcast overview
postercast overview
help
videos
pubcasts
postercasts
slidecasts
papercasts
communities
Antibody-protein interactions: benchmark datasets and prediction tools evaluation
Info
Share
References
Figures
Flag this video
4737
views
|
DOI: 10.4016/5328.01
|
login
to rate
URL
Embed
Favorite
|
More
$references
Please describe the reason for abuse:
Supplementary Materials
Comments
Antibody-protein interactions: benchmark datasets and prediction tools evaluation
by:
apryl
|
February 26, 2008
Peer-Reviewed Paper
Authors:
Julia V Ponomarenko, Philip E Bourne
Citation:
BMC Struct Biol. 2007 Oct 2; 7:64
Linked profiles:
juliap
Download Audio
|
View Original Article
`
This video belongs to:
BMC Structural Biology Channel
Structural Bioinformatics
Related Videos
More from apryl
Tags/Subj
T-Cell Epitope Prediction: Rescaling...
Views: 1480 | Apr 9, 2009
submitted by:
aidanmcn
NetMHCpan, a Method for Quantitative...
Views: 5155 | Dec 21, 2007
submitted by:
mniel
Wiggle—Predicting Functionally...
Views: 8621 | Jul 19, 2007
submitted by:
jgu
Bioinformatic analyses of mammalian...
Views: 7954 | Feb 6, 2009
submitted by:
apryl
SDSC is Data Centric
Views: 1605 | Aug 30, 2007
Drug Discovery: African Sleeping...
Views: 3889 | Aug 30, 2007
Geoscience in Cyberinfrastructure
Views: 1855 | Aug 30, 2007
Facilitating Scientific Discovery
Views: 3138 | Aug 30, 2007
Earthquake Simulations
Views: 5692 | Aug 30, 2007
more
Tags
amino acid sequence
antibody binding sites
antigen-antibody complex
antigens
b-lymphocyte
benchmarking
computational biology
databases
emagglutinin glycoproteins
epitopes
influenza virus
molecular sequence data
roc curve
Subject areas
biochemistry
biology
bioscience
biotechnology
cancer
cell biology
dna
evolution
genetics
health
life science
medicine
molecular
pharmacy
plant biology
Copyright © 2007 Ponomarenko and Bourne.; licensee BioMed Central Ltd.
Copyright 2010 © Julia V Ponomarenko, Philip E Bourne. This pubcast is licensed under the terms of the Creative Commons Attribution License 3.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
