Abstract
The immunoglobulin lambda isotype family is present in nearly all vertebrates and plays a primary role in the human immune system. Despite its importance, few if any systematic studies have been performed to identify, as it has been the case for kappa and heavy chains, a set of structural conformations adopted by the loops forming its Antigen Binding Site (ABSs). The aim of this work is to perform such analysis on the vast majority of known antibody lambda chains by means of an integrative approach of bioinformatics (structural superpositions and sequence alignments), machine learning (clustering, random forest) and statistical techniques.
Original language | English |
---|---|
Title of host publication | ACM-BCB 2010 International Conference on Bioinformatics and Computational Biology |
Publisher | Association for Computing Machinery |
Publication date | 2010 |
Pages | 651-652 |
ISBN (Print) | 9781450304382 |
DOIs | |
Publication status | Published - 2010 |
Externally published | Yes |
Event | International Conference On Bioinformatics and Computational Biology (ACM-BCB) - Niagara Falls, NY, United States Duration: 2 Aug 2010 → 4 Aug 2010 |
Conference
Conference | International Conference On Bioinformatics and Computational Biology (ACM-BCB) |
---|---|
Country/Territory | United States |
City | Niagara Falls, NY |
Period | 02/08/2010 → 04/08/2010 |