Artificial Intelligence & Machine Learning in Drug Discovery | Event in NA | Townscript
Artificial Intelligence & Machine Learning in Drug Discovery | Event in NA | Townscript

Artificial Intelligence & Machine Learning in Drug Discovery

Jan 08 - 10 '25 | 08:30 PM (IST)
Online Event

Event Information

BDG LifeSciences is a distinguished bioinformatics company established in 2010 and operates globally. Headquartered in India the company specializes in facilitating workshops, training programs, novel & innovative research projects, and online courses in technologies of bioinformatics & life science. The company is registered under the Ministry of MSME (Micro, Small, and Medium Enterprises), Government of India, with the registration number UDYAM-UP-01-0019151. Recently, BDG Lifesciences, India has authorized BBR Group Pty Ltd., Australia (ACN 608 550 849), to operate its programs in Australia & New Zealand.
With a focus on practical application of technology, where participants work on their own computer/laptop on software/servers,  BDG LifeSciences has been a leader in the sector for the last 14 years. Since its inception, BDG LifeSciences has successfully educated a diverse range of participants globally, including students, scientists, faculty members, professors, and corporate executives.

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We have launched a 3-day technical online training program in Artificial Intelligence & Machine Learning in Drug Discovery. This 3 day, hands-on training course will focus on the use of efficient technologies with HANDS-ON practical application where participants will perform on their own computer system.

Video recording of each session will be provided at the end of the session to give the user a unique learning experience. On successful completion of the course participation certificate will be awarded.

Overview: 
This course introduces machine learning (ML) techniques and their applications in drug discovery. Students will explore how ML can accelerate drug development by predicting molecular interactions, optimizing drug candidates, and analyzing biological data.


Course Structure: 
Module 1: Introduction to Machine Learning in Drug Discovery (Day 1)

  • Overview of drug discovery process
  • Role of AI/ML in drug development

Practical:

  • Intro to Weka

Module 2: Data Preparation and Feature Engineering (Day 2)

  • Types of biological data (chemical structures, gene expression, etc.)
  • Feature extraction from molecular structures

Practical:

  • Building datasets with PubChem
  • Molecular descriptor calculation using PaDEL

Module 3: Supervised Learning for Drug Discovery (Day 3)

  • Classification models (Random Forests, SVMs)

Practical:

  • Developing a ML model for predicting biological activity using Weka


Learning Outcomes: 
Participants will apply the knowledge from the course to a real-world drug discovery problem, such as predicting bioactivity or designing a drug candidate for a given target. 


By the end of the course, participants will:

  • Understand the role of ML in accelerating drug discovery.
  • Be proficient in using ML models for molecular data analysis.
  • Build, evaluate, and deploy ML models for predictive tasks in drug discovery.

Tools:

  • Databases: PubChem
  • Machine learning tool: PaDEL, WEKA

RESOURCE PERSON
Salma Jamal, Ph.D. is a DHR-Young Scientist and her research has circled around mining enormous diverse biological data and identify & prioritize previously unknown relationships and new strategies that would enable solving various disease-associated problems.
She is an expert in using various bioinformatics and cheminformatics methods to identify molecules with biological activities from diverse chemical libraries. She used the Crowdsourcing approach to perform data analysis and Crowd Computing for Cheminformatics (2C4C), to develop predictive models for almost all the significant confirmatory screens available on PubChem.
During her Ph.D., she carried computational work including molecular dynamics simulations, generated machine learning-based models for activity prediction, prediction of adverse drug reactions, identification of disease-associated mutations, and prediction of disease-associated genes. She has also used long-range molecular dynamics (MD) simulations to explore the effects of urea and TMAO in regulating the conformational properties focusing on the structural aspect of α-synuclein peptide, which is intrinsically disordered in its monomeric form.
Further, she has also performed Long-range replica exchange molecular dynamics guided drug repurposing against tyrosine kinase PtkA of Mycobacterium tuberculosis (M.tb). Her recent work is focused on developing an updated database comprising almost all reported substitutions within the M.tb drug target genes rpoB, inhA, katG, pncA, gyrA, and gyrB. This was followed by evaluating the impact of these mutations on the binding affinity of the drugs to target proteins. She is also a part of the team which has developed a comprehensive online resource named MycoTRAP-DB that connects mutations in genes with their structural, functional, and pathogenic implications on protein.
She joined as a Technical Associate at BDG Lifesciences and now conducts training, workshop, and research projects on topics of her expertise.

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
  • It is recommended to provide GMAIL email address.
  • Video recording of each session will be provided at the end of the session to give the user a unique learning experience.
  • 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.

Speakers

Dr Salma Jamal

Technical Associate
Dr. Salma Jamal has 8+ years in bioinformatics, leading projects in NGS analysis, drug discovery, and machine learning, with 56 publications

Venue

This is an online event
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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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CONTACT ORGANIZER
Have a question?
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CONTACT ORGANIZER
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