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3 for 2 Offer SELECTBIO Conferences Emerging Technologies for Diagnostics & Liquid Biopsies - New Orleans 2024Lab-on-a-Chip, Microfluidics, & Organ-on-a-Chip Asia 2024Flow Chemistry Asia 2024Organoids, Spheroids & Organs-on-Chips 2024Innovations in Flow Cytometry & Extracellular Vesicles 2024ePoster Award Prize

IN SILICO DRUG DISCOVERY & DESIGNING: INSIGHTS OF PROTEIN-LIGAND INTERACTIONS


Held in conjunction with Drug Discovery India 2016

01 Oct 2016, at 9.00 am to 5.00 pm in Bengaluru

Price:



INTRODUCTION

Structure-based drug design seeks to identify and optimize specific attractive interactions between two partner molecules in biological systems between ligands and their host molecules, typically proteins. The simple answer to what's holding the industry back in terms of adoption of latest drug discovery techniques is Education. There simply aren't enough individuals trained on the use of Proteomics, Virtual Screening, Molecular Docking, Simulations, Dynamics and ADMET- multidisciplinary approaches, which is why we continue to offer courses, for both novice and experienced users, on the use of this technology as it applies to their research functions.

This 1 day training course will focus on the use of efficient technologies used in the discovery & designing of Drugs on the basis of the biological targets critical to the disease condition.

During this course, you will be introduced to basic principles of Rational Drug Design along with Proteomics in Drug Discovery. The course includes hands-on exercises in the Structure based drug design approach.  

TOPICS

Introduction of Drug Designing

Science involved in disease target identification 

Virtual screening

Practical application will be done on 5 molecules and the software on which DEMONSTRATION & TRAINING will be given

In-silico generation of ligands by ChemSketch

Conversion of .mol files to .pdb files by Open Babel

Protein optimization & Energy Minimization by SPDBV

Molecular Docking by MGL Tools | Creation of Grid Parameter & Dock Parameter files by AutoDock Software

Running the Algorithm by Cygwin

Selection of potent inhibitors on the basis of binding energies and Lipinski's Rule of 5

Structure Analysis- Protein & ligand complex H-bond interaction by UCSF Chimera

Prediction of Molecular Properties- Molinspiration

Prediction of Bioactivity- Molinspiration & ACD iLabs

Drug Likeness- Mol Soft

Bioavailability & ADME- ACD iLabs

Toxicity- OSIRIS Property Explorer & ACD iLabs

WHO SHOULD ATTEND

With basic knowledge in Life Science and Drug Design that would like to receive a comprehensive overview or refresher on the Drug Discovery Technology the target audience comprises 

Student & Faculty: Bachelor, Masters, PhD, students as well as Faculty and Professors from Microbiology, Biochemistry, Biotechnology, Immunology, Pharmacy, Pharmaceutical Chemistry, Biomedical Technology, Genetics, Bioinformatics, Plant Science and Life Sciences. 

Professionals: Biotechnology, Bioinformatics and Pharmaceutical scientists from industry, academia and regulatory agencies.

Hands-on exercises will be performed individually using software tools (no prior experience required).

COMPLIMENTARY

Workshop Material

Lunch & Refreshment

Certificate



Asif Naqvi

Asif Naqvi, CEO & Founder, BioDiscovery Group Life Sciences