Literature DB >> 12833673

Databases and data mining for computational vaccinology.

Darren R Flower1.   

Abstract

Drugs and vaccines are keys to the effective fight against disease. While the pharmaceutical industry has developed an awesome array of real and virtual approaches to rational drug discovery, the complexity of the immune system hampers attempts to design and develop vaccines in a rational manner. The goal of immunoinformatics (the application of informatics techniques to immunological macromolecules), an emergent sub-discipline of bioinformatics, is to develop computational vaccinology as a potent tool in the quest for new vaccines. Databases and data mining, the two principal weapons at the disposal of the in silico vaccinologist, will be presented in the light of current developments.

Mesh:

Substances:

Year:  2003        PMID: 12833673

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  2 in total

1.  Modeling the structure of bound peptide ligands to major histocompatibility complex.

Authors:  Joo Chuan Tong; Tin Wee Tan; Shoba Ranganathan
Journal:  Protein Sci       Date:  2004-09       Impact factor: 6.725

2.  Peptide-Based Immunotherapeutics and Vaccines 2017.

Authors:  Pedro Reche; Darren R Flower; Masha Fridkis-Hareli; Yoshihiko Hoshino
Journal:  J Immunol Res       Date:  2018-07-15       Impact factor: 4.818

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.