Immunology and Drug Discovery
Immunology involves the development and application of methods of bioinformatics, mathematics and statistics for the study of immune system biology. Through drug discovery mechanism new drugs can be discovered and designed and the causes of the diseases can be analyzed and ways could be found to tackle them. The modern drug discovery process integrates the understanding of the molecular basis for a disease with crucial understanding of how potential drug molecules interact with particular disease targets and the whole organism. Bioinformatics is a growing field which can explore the causes of diseases at the molecular level, explain the occurrence of the diseases from the genetic angle and make use of computer techniques to diminish the scope of study and enhance the efficiency of the results so as to curtail the cost and time.
Relevant Conferences:
8th Molecular Immunology & Immunogenetics Congress, Rome, Italy, March 20-21, 2017; 8th European Immunology Conference during June 29-July 01, 2017 at Madrid, Spain; 9th Annual Meeting on Immunology and Immunologist at Kuala Lumpur, Malaysia during July 03-05, 2017; 18th Annual Drug Discovery Summit at Berlin, Germany, June 12-13, 2017; DDRI — 3rd Drug Discovery Re-Invented, Cancun, Mexico, February 21-24, 2017; 24th Annual Molecular Med Tri-Con 2017 during February 19-24, 2017 at San Francisco, United States; 26th Conference of Asian Pacific Association for the Study of the Liver at Shanghai, China, February 15-19, 2017
- Innovative methods and techniques in immunology
- Immune cells & proteins
- Clinical biomarkers
Related Conference of Immunology and Drug Discovery
Immunology and Drug Discovery Conference Speakers
Recommended Sessions
- Bioinformatics Algorithms & Databases
- Bioinformatics and Computational Biology
- Biostatistics - An Approach to Bioinformatics
- Clinical Case Reports
- Emerging Trends in Genomics
- Emerging Trends in Proteomics
- Epigenetics
- Evolutionary Bioinformatics
- Health Informatics in Bioinformatics
- Immunology and Drug Discovery
- Structural Bioinformatics
- Systems Biology in Bioinformatics
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