Course Name: Interactomics : Basics & Applications

Course abstract

Proteins are the key effectors of any living system and are largely responsible for the functioning of a cell. Intricate cell signaling and molecular triggers are dependent on interactions involving proteins at the cellular level. It is due to this very reason that, in an age where clinical biology is thriving to make an impact in global health-care and biomedical diagnostics, there has been a surge of interest in the area of Interactomics. Interactomics essentially involves the study of interactions between biomolecules, particularly proteins and the consequences of those interactions in a biosystem. Due to rapidly evolving technological platforms in biology, there is a need to keep pace with latest developments in field to explore their versatile applications. Interactions resulting from protein-protein, protein-peptide, protein-RNA, protein-DNA or protein- small molecule have immense application in life-sciences and translational biology. Through this course, we aim to provide an interface between distinguished scientists involved in interactomics research, industrial partners, faculties and students. This course would feature an intensive lecture series followed by some demonstrations designed to provide the much needed training required to explore the endless possibilities in interactomics research using genomics and proteomics approach, that can be useful for a researcher at any stage. Various technology platforms such as Protein microarrays, Label-free biosensors and Next-Generation Sequencing (NGS) Technology will be discussed. The students/participants will gain exposure to the above mentioned technologies and its applications from some of the experts in the field, from both- academia and industry perspective.


Course Instructor

Media Object

Prof. Sanjeeva Srivastava

Proteomics describes the study and characterization of complete set of proteins present in a cell, organ or organism at a given time. My laboratory is using high throughput proteomic techniques such as mass spectrometry and protein microarray etc. for biomarker discovery in cancer and tropical diseases of India, to study protein-protein interactions and drug target discovery. Information obtained from research program is also used for in silico studies and computing models to enhance our understanding in systems approach.Academic Background • Ph.D. University of Alberta, Canada (2006) • Post-doc, Harvard Institute of Proteomics, Harvard Medical School, USA (2007-2009) • Assistant Professor, Department of Biosciences and Bioengineering, IIT Bombay (2009-2014) • Associate Professor, Department of Biosciences and Bioengineering, IIT Bombay (2014-2018) • Professor, Department of Biosciences and Bioengineering, IIT Bombay (2018-)
More info

Teaching Assistant(s)

Arghya Banerjee

P.hD

Abhilash Barpanda

P.hD

 Course Duration : Jan-Apr 2020

  View Course

 Enrollment : 18-Nov-2019 to 03-Feb-2020

 Exam registration : 16-Dec-2019 to 20-Mar-2020

 Exam Date : 25-Apr-2020

Enrolled

555

Registered

19

Certificate Eligible

14

Certified Category Count

Gold

0

Silver

5

Elite

4

Successfully completed

5

Participation

0

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Interactomics : Basics & Applications - Toppers list

ABIRAMI S 84%

AC Tech Campus, Anna University

ARINDAM SAIN 78%

MAULANA ABUL KALAM AZAD UNIVERSITY OF TECHNOLOGY, WEST BENGAL

Enrollment Statistics

Total Enrollment: 555

Registration Statistics

Total Registration : 61

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.