Cheminformatics: Tools and Applications

Name: Cheminformatics: Tools and Applications
Rating: 5 (66 reviews)

(66 RATINGS)

COHORT-BASED COURSE

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Sat, 1st February, 2025

COURSE DURATION

3 Months

COURSE LEVEL

Advanced

€449.00 one-time payment

For self-paced learning options, contact us

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Feb 1-May 3, 2025

3 Months

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HOSTED BY

Pankaj Mishra, PhD

Molecular AI Specialist with 13+ Years of Experience | Founder & CTO, Future Therapeutics | Building Proprietary AI Infrastructure for Drug Discovery | Co-founder, Neovarsity

Pre-requisites

You should be familiar with:

Python Programming

About the Course

This course is designed to provide you with the knowledge and skills necessary to excel in the field of cheminformatics. Led by experienced instructors, it covers the entire cheminformatics pipeline, equipping you with the tools and concepts needed to succeed. Throughout the course, you will learn how to accurately represent molecules, analyze chemical databases, generate features for QSAR and machine learning algorithms, and explore potential molecules in chemical space. By mastering these skills, you will be well-prepared to tackle real-world cheminformatics projects. Through engaging caps

Flexible learning options

Attend live (virtual) lectures
Access recorded lectures in your private dashboard

Practical application

Apply your skills through hands-on projects
Engage in real-world case studies

Personalized learning experiences

Tailored support and guidance
24x7 support by our dedicated support team

Specialized community access

To our Members-only Slack community
To our invite-only deep tech global Slack community

Syllabus Overview

Course Introduction
Overview of Course Curriculum
Significance of Cheminformatics
Why Cheminformatics Before Machine Learning?
Course FAQs

Meet your Instructors

Pankaj Mishra, PhD

Instructor

Molecular AI Specialist with 13+ Years of Experience

Dr. Pankaj Mishra is the co-founder of Neovarsity, a Berlin-based deep-tech learning venture. He is also the founder of Future Therapeutics, a Berlin-based AI-native therapeutics discovery company that builds and leverages proprietary AI infrastructure to find new cures. He specializes in molecular artificial intelligence and holds a Ph.D. from the University of Freiburg, Germany. He earned his master's degree in pharmaceutical chemistry from the renowned Indian Institute of Technology (BHU), India. During his academic tenure, he co-authored research publications in esteemed journals, including the Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Nature Immunology, and Nature Cell Biology.

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What Our Learners Say

Learning made my published work possible

The curriculum at Neovarsity was incredibly valuable for my work in antibiotic discovery. The data preprocessing techniques I learned there were essential because chemical data can be quite complex. These skills were key to a

Yassir Boulaamane

PhD

Université Abdelmalek Essaâdi

The course is well structured, and the support is great

During my training with Neovarsity, I have mastered cheminformatics as a powerful tool for designing small molecules, calculating varying molecular descriptors, including fingerprints, based on my systems properties, and inte

Sahil Gahlawat

PhD Scholar

UiT- The Arctic University of Norway

I'm working on new projects, applying skills learned at Neovarsity

I have learned how to use cheminformatics as a crucial and powerful tool in the design of small molecules, how to calculate molecular descriptors and fingerprints from scratch related to my system’s properties, and how to use

Stefani Gamboa

PhD

Aix-Marseille University, France

My Neovarsity coursework gave me the expertise needed

I have been actively applying my newly acquired skills to the medicinal chemistry projects I am involved in [at Rutgers]. This involved creating targeted libraries and generating various substituents for my lead compounds. Fu

Anastasiia Tsymbal

Research Associate

Rutgers University, New Jersey, USA

I chose Neovarsity to pivot my career into Cheminformatics...

After over 10 years in the biopharma industry with a Bachelor of Science degree in toxicology from the University of Toronto, I chose Neovarsity to redirect my professional trajectory toward data-driven drug discovery and tox

Abigaëlle Coly

Pharmacovigilance

University of Toronto

Enroll Now

Cheminformatics: Tools and Applications

For customised payments options, contact us

01 Feb, 2025

One-Time Payment

€449.00

All taxes included

One year complete access
Shareable certificate on completion
Career guidance from instructors

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Frequently Asked Questions

This course is designed for students, researchers, and professionals in drug discovery, pharmaceutical research, computational biology, machine learning engineers, and anyone interested in learning about the applications of cheminformatics.

A basic understanding of chemistry is helpful but not mandatory. The course starts with foundational concepts, making it accessible to beginners. Familiarity with basic computer operations is necessary.

You will learn about molecular data representation, chemical database management, molecular modeling, virtual screening, chemical file conversion, data curation and standardization, chemical search and filtering, and more.

Yes, a working knowledge of Python programming is crucial as the course is Python programming intensive. We highly recommend gaining experience in Python before enrolling. Contact us at ***{% primary %} [email protected]. {% /primary %}*** or start an online chat if you need help with Python. A basic understanding of chemistry and familiarity with data analysis concepts will also be beneficial.

The course is designed to be completed within 12-14 weeks. We recommend dedicating at least 6 hours per week to fully benefit from the course content and to ensure adequate practice.

You will have access to the course for 1 year from the date of your registration. ***Instructor and mentor 1:1 support is available for 3 months from the day of your registration.***

You will retain access to the course materials on your dashboard for 1 year, providing ample time to complete the course at your own pace and request a certificate. We kindly remind you that while we are dedicated to assisting you, active support from instructors and mentors will be available for the first 3 months after your registration. This policy helps us manage our resources effectively and ensures that we can offer the best possible support to all learners.

The course consists of 22 chapters and 138 topics.