About Conference

About Conference

Proteomics in Agriculture and Healthcare

Proteomics is a high efficiency mass spectrometry based; computer-aided technology used for large-scale characterization of proteins. Rapid development in this technology during the past few decades was associated with its application in identification of all the proteins in a cell, studies on interaction between cellular proteins, post-translational modification of cellular proteins and identification of proteins expressed in a cell under stress (e.g, high salt, high or low pH, exposure to toxic substances, infection caused by a pathogen). Proteomics is also used in the field of agricultural research in order to gain insight into the molecular basis of resistance of crops to environmental stressors (e.g, drought, salinity, flood). Use of proteomics in the studies on the seed proteins promises a better understanding of the molecular network and pathways involved in the filling, maturation and germination of seeds. It is also used to study cell-wall proteins in various plants essential for maintenance of the cell structure and metabolism, cell enlargement, response to environmental stress, and some other physiological roles. Proteomics has found versatile applications in the field of medicine for identification of disease-specific biomarkers and discovery of drugs. It is also used for understanding the molecular basis of cancer and the changes in the pathways involved in the antibiotic-resistance of bacteria that has assumed the shape of a global crisis during the recent past. The purpose of this conference is to get acquainted with the various novel scopes of proteomic-studies in the field of agriculture and medicine.


School of life sciences, UOH in association with Proteomics society, India is conducting the conference on "Proteomics in Agriculture and Healthcare" during March 13-14,2021 and celebrating Proteomics day. The following themes are included:

  1. Emerging Trends in Proteomic Technologies
  2. Plant Proteomics
  3. Clinical Proteomics
  4. Post Translational Modifications
  5. Bioinformatics