Introduction to AI in Drug Discovery | Event in NA | Townscript
Introduction to AI in Drug Discovery | Event in NA | Townscript

Introduction to AI in Drug Discovery

Feb 01 | 03:30 PM (IST)
Online Event

Event Information

BDG LifeSciences (OPC) Pvt. Ltd. India is a Bioinformatics company with expertise in conducting Workshops, Training, Novel Research Projects & Online Courses in technologies of Bioinformatics and is in business since 2010. Being proficient in Drug Discovery & Designing, MD Simulations, NGS Data Analysis, and Gene & Genome Editing by CRISPR/Cas9 to date, we have successfully trained hundreds of participants who were not only students but scientists, faculties, professors, company executives, etc across the world.
As we believe in a different way of learning which is HANDS-ON PRACTICAL SESSIONS our workshops are unique because participants perform on their own computer/laptop on software/servers, so it is a 100 % practical application of technology which is the main reason for BEING A LEADER in the sector for the last 10 years. To view the pictures of our previous events click here-1 and click here-2. To view, the listing of upcoming events kindly click here and our previous workshops can be viewed here. To view the video feedback of our previous events kindly visit our YouTube Channel

We have launched our next 4-day hands-on training program in Introduction to Artificial Intelligence in Drug Discovery in which every day 90 minutes of interactive sessions will be conducted on Google Meet/Zoom to give the user a unique learning experience. On successful completion of the course participation certificate will be awarded.

TOPICS
  • Introduction to AI in Drug Discovery
  • Drug development- Current context in drug development, The future of drug development, Databases used for target discovery
  • Use of data relevant for drug- Data types, Feature selection
  • Machine Learning Methods in Drug Discovery- Examples of machine learning applied to drug development, ML Algorithms Used in Drug Discovery
  • Deep Learning (DL) MethodsCancer- Examples of Drug Discovery, Algorithms Used in Drug Discovery
  • Applications of machine learning (ML) and deep learning (DL)in drug discovery and development- Ongoing challenges in adopting AI: leads on ways to overcome, How Big Pharma Adopts AI To Boost Drug Discovery
PRACTICAL APPLICATION
  • Practical 1- ML for target identification and for optimisation of high throughput screens, for structure-based drug design and for drug repurposing
  • Practical 2- Cheminformatics in Python: Predicting Solubility of Molecules
  • Practical 3- Model Building for Solubility Dataset of Molecules
  • Practical 4- Building a Machine Learning Model on Cancer dataset
  • Practical 5- Drug Discovery with Deep Learning
WHO SHOULD ATTEND
Student & Faculty: Bachelor, Masters, Ph.D., 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).

T & C
  • Interactive training sessions will be conducted on Google Meet/Zoom so to give users a better learning experience.
  • As it is with a LIVE TRAINER hence practical application, i.e., the experiments/tasks to be performed can be done in the best explainable manner.
  • In this Online Workshop, there will be a LIVE trainer who will solve queries along with training.
  • Make sure you register under the right category. If you register under the wrong category then your registration will be invalid and NO REFUND WILL BE MADE IN THIS CASE. This is your mistake and the company is not responsible for it.
  • To avoid this do read the description of the ticket before selecting and proceeding with payment.
  • You need to upload your professional ID which can be your Student ID Card or Research Institute ID Card or Company ID Card.
  • The certificate will be issued as per the details which you provide in the registration form while registering before payment.
  • Once you register relax we will send you the meeting link after the workshop registration gets over.
  • If there is any technical difficulty and you miss some part of the session then we will compensate for that time in the next session. For example, if you have lost 30 minutes then your next session will be of 2:30 hours instead of 2:00 hours.
  • If you cannot attend any session then you have to inform us 12 hours prior to the session.
  • If you do not turn up for the training session on any day without prior information then you will be sent an email about the things which would be covered on that day. The next day the next thing will be covered.
  • Timings are to be strictly followed hence it is recommended to join 5 minutes prior to the session.
  • We want to make sure that you learn properly hence the training certificate will be given ONLY on successful completion of all the tasks given by the trainer.
  • The certificates of all our Online programs are sent by email(softcopy) which has a unique barcode. You can take a print of that on heavy cardstock or photo paper and get it laminated if required.
  • The registration is NON-REFUNDABLE and NON-TRANSFERABLE.
  • BDG Lifesciences (OPC) Pvt. Ltd., India reserves the right of admission in all our programs.
  • If you are removed or your registration is canceled then there will be no answer to that. We have our own reasons for such an act of ours
  • If we do not wish to give this workshop to any participant then we will refund their amount.

Venue

This is an online event
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About
BDG LifeSciences (OPC) Pvt. Ltd. is a Bioinformatics company and are into business since 2010. We are an expert in conducting Training, Novel Research Projects, Workshops & Online Courses in technologies of Bioinformatics.We have a strong 13+ years of experience and are proudly the market leaders.
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