Yvis
Yvis provides high-density visualization and analysis of large antibody sequence and structure datasets using the Collier de Diamants alignment method to identify conserved regions and critical residues.
Key Features:
- High-Density Data Visualization: Implements the Collier de Diamants technique to generate detailed visualizations of antibody sequence alignments for large datasets.
- Integrated Structural Database: Maintains an integrated structural database updated weekly that links sequence information with structural insights.
- Advanced Search and Filter Options: Provides search and filter functionalities to refine queries across antibody sequence and structural data.
- Hypothesis Formulation Support: Facilitates formulation of hypotheses about critical residues and sequence-structure relationships influencing antibody properties and interactions.
Scientific Applications:
- Immunology and Structural Biology Research: Enables investigation of sequence-structure relationships and conserved motifs in antibody repertoires.
- Diagnosis and Therapy Development: Supports analysis of antibody interactions and properties relevant to diagnostic tool and therapeutic antibody development.
- Experimental Biology Research: Provides insights into antibody behavior and function to inform experimental studies.
Methodology:
Uses the Collier de Diamants high-density alignment visualization to examine sequence alignments, identify conserved regions and critical residues, and link sequence data with structural information from an integrated structural database updated weekly.
Topics
Details
- License:
- Unlicense
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/9/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Carvalho MB, Molina F, Felicori LF. Yvis: antibody high-density alignment visualization and analysis platform with an integrated database. Nucleic Acids Research. 2019. doi:10.1093/nar/gkz387. PMID:31106372. PMCID:PMC6602444.
DOI: 10.1093/NAR/GKZ387
PMID: 31106372
PMCID: PMC6602444
Funding: - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior: BioComputacional 51/2013, COFECUB 935/19, PVE 88887.125025/2014-00
- FAPEMIG: APQ-01437-16