07/18/2024

Registration closes 07/18/2024
Virtual Workshop

Analysis of Drug like Small Molecule using ChemmineR: A Cheminformatics Toolkit for R

Unlocking the Power of Cheminformatics: Analyzing Drug-like Molecules with ChemmineR in R

  • Mode: Online/ e-LMS
  • Type: Mentor Based
  • Level: Beginners
  • Duration: 3 Days (1.5 Hours/Day)
  • Starts: 18 July 2024
  • Time: 08:00 PM onwards IST

About This Course

ChemmineR is a cheminformatics package for analysing drug-like small molecule data in R. In addition, ChemmineR offers visualization functions for compound clustering results and chemical structures. The integration of chemoinformatic tools with the R programming environment has many advantages, such as easy access to a wide spectrum of statistical methods, machine learning algorithms and graphic utilities.

Aim

This 3-day workshop aims to equip participants with the essential skills and knowledge to effectively analyze drug-like small molecules using ChemmineR, a powerful cheminformatics toolkit for R. By the end of the workshop, attendees will proficiently predict physicochemical/structural properties, conduct structural similarity searching, and perform classification and clustering of compound libraries. Furthermore, participants will learn how to utilize visualization functions for interpreting compound clustering results and chemical structures.

Workshop Objectives

  • To predict the physicochemical/structural properties, structural similarity searching, classification and clustering of compound libraries
  • To visualize the functions for compound clustering results and chemical structures.

Workshop Structure

Day 1:

  • Chemical databases and ChemmineR tool
  • Overview of Chemical Databases
  • Overview of ChemmineR tool

Day 2:

  • Bioconductor package
  • Overview of Bioconductor package
  • Installation of Bioconductor package

Day 3:

  • Chemical properties prediction and visualization
  • Structural properties similarity searching
  • Molecular visualization

Who Should Enrol?

  • Graduate degree in Biology, Bioinformatics, Computational Biology, or related fields.
  • Professionals in the biotechnology, pharmaceutical, or healthcare industries.
  • Researchers and academics with a focus on molecular biology and structural biology.
  • Individuals with a keen interest in AI applications in life sciences.

Important Dates

Registration Ends

07/18/2024
IST 07:00 PM

Workshop Dates

07/18/2024 – 07/20/2024
IST 08:00 PM onwards

Workshop Outcomes

  • Proficiency in analyzing drug-like small molecules using ChemmineR.
  • Enhanced understanding of physicochemical properties and structural similarity searching.
  • Ability to perform classification and clustering of compound libraries.
  • Competence in visualizing compound clustering results and chemical structures.
  • Hands-on experience in utilizing ChemmineR for cheminformatics analysis.

Fee Structure

Student

₹999 | $40

Ph.D. Scholar / Researcher

₹1199 | $45

Academician / Faculty

₹1599 | $50

Industry Professional

₹1999 | $75

What You’ll Gain

  • Live & recorded sessions
  • e-Certificate upon completion
  • Post-workshop query support
  • Hands-on learning experience

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Publication Opportunity

Get published in a prestigious open-access journal.

Centre of Excellence

Become part of an elite research community.

Networking & Learning

Connect with global researchers and mentors.

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

Need Help?

We’re here for you!


(+91) 120-4781-217

★★★★★
Cancer Drug Discovery: Creating Cancer Therapies

Undoubtedly, the professor's expertise was evident, and their ability to cover a vast amount of material within the given timeframe was impressive. However, the pace at which the content was presented made it challenging for some attendees, including myself, to fully grasp and absorb the information.

Mario Rigo •
★★★★★
Power BI and Advanced SQL Mastery Integration Workshop, CRISPR-Cas Genome Editing: Workflow, Tools and Techniques

Good! Thank you

Silvia Santopolo •
★★★★★
Artificial Intelligence for Cancer Drug Delivery

Informative lectures

G Jyothi •
★★★★★
Artificial Intelligence for Cancer Drug Delivery

delt with all the topics associated with the subject matter

RAVIKANT SHEKHAR •

View All Feedbacks →

Stay Updated


Join our mailing list for exclusive offers and course announcements

Ai Subscriber