Skip to main content

OpenTox Asia 2019 Conference Program

March 2nd, 2019 (Saturday)

Conference Venue: Auditorium, CSIR-IICT

14:15-14:30

Inaugural Session

Session 1

Time

Speakers

Title of the Talks

14:30-14:50

Keynote 1: Dr. Alok Dhawan

Interaction of In silico and Experimental Toxicology

14.50-15:10

Keynote 2: Dr. Ravichandran

Network pharmacology approach on Hyperglycemia

15:10-15:30

Keynote 3: Dr. Barry Hardy

Knowledge-integrated Toxicology and Safety Assessment

15:30-15:40

Dr. Andrew Singer

Overview of AMR in the environment and the challenge of assessing risk

15:40-15:50

Dr. P.V. Bharatam

The toxicity originating from the reactive metabolites of the drugs

15:50-16:30

Discussion

16:30-16:50 Tea break

Session 3

16:50-17:00

Dr. R. Parthasarathi

Non-testing Methods for Toxicity Assessment

17:00-17:10

Dr. K. Venkatesh

Systems engineering perspective of human metabolism through a multiscale model for clinical data and toxicology analysis: A cell to human framework

17:10-17:20

Dr. Subhash C. Bhasak

Use of mathematical structural descriptors and proteomics-based bio descriptors in the prediction of toxicity and nanotoxicity

17:20-17:30

Dr. Rajesh Goel

In silico prediction of toxicity for drugs and yet to be drugs using PASS and Pharmaexpert

17:30-18:00

Discussion

18:00-19:00

Poster Evaluation

19:00-19:30

Special Lecture by Dr. Indira Gosh

20:00-21:00 - Dinner

March 3rd, 2019 (Sunday)

Conference Venue: Auditorium, CSIR-IICT

Session 4

09:00-09:10

Dr. G. Madhavi Sastry

Nuts and bolts of computational methods in drug discovery

09:10-09:20

Dr. C.V. Sastri

Tuning catalytic reactivity of Iron(IV)-oxo complexes through Induced Steric Effect

09:20-09:30

Dr. Devesh Kumar

Drug metabolism by Cytochrome P450

09:30-09:40

Dr. Nagarajaram

 

09:40-09:50

Dr. M. Vijjullatha

 

09:50-10:45

Discussion

10.45-11:15 Tea break

Session 5

11:15-11:25

Dr. Hemanth K Srivastava

DFT based CADD approach for designing lead molecules

11:25-11:45

Dr. R.Thenmalarchelvi

Pattern recognition approach to predict a protein’s like or dislike when it meets a metal

11:45-11:55

Dr. Jagannath Mondal

Computer simulation of protein-ligand recognition in real time

11:55-12:05

Dr. Brinda Poojary

Adverse outcome pathways – A holistic tool for better predictivity & eliminating animal usage

12:05-12:15

Dr. Ashish Anand

Machine learning for drug repurposing

12:15-12:25

Dr. Priyanka Banerjee

Development of Toxicity prediction models using chemoinformatics/Machine learning using KNIME workflows

12:25-13:15

Discussion

13:15-14:30 Lunch

Session 6

14:30-14:40

Dr. U. Deva Priyakumar

Rise of the Machines: Chemistry with Machine Learning

14:40-14:50

Dr. Rama Kaalia

Learning from chemical structures for in silico toxicity prediction

14:50-15:00

Dr. Ashwani Sharma

In silico prediction of Structure and compound affinity of Multidrug Resistance-associated Protein 2 (MRP2) for predicting hepatotoxicity.

15:00-15:10

Dr. Jayashree

 

15:20-15:30

Dr. Durba Roy

Dynamical simulations of Peptide Toxins reveal the link among peptide sequence, structure and disulfide bond isoforms

15:10-15:20

Dr. Chinmayee Choudhary

Exploring multiple binding pockets of drug targets as a new strategy for Anti-TB inhibitor design

15:30-16:30

Discussion

16:30-17:00 Tea break

17:00-17:30

Closing remarks and best poster prizes

19:00-20:30 Dinner