Hemoglobin Structure

At Quantcure, We

Rethink

Reimagine

Rediscover

A deeptech startup working on leveraging deep learning to build wider, better, faster drug discovery pipeline.

There are

22,962

Identified Disorders (Diseases)

As per Malacards

But are

16,000+

Target based compound information

In Opensource platforms like ChemBI

There are only

4,700+

Approved Drugs

Thus Our Goal is to facilitate

1 drug/disorder

Mission

In this era of information and heightened computing capability, we are actively building key scientific methods which utilize the transformative power of advanced computational models to accelerate the drug discovery pipeline. We are actively striving to bridge the gap between deep tech and pharmaceutical sciences for quicker, better, and safer drugs to market.

Core Values

  • Patient Centricity - Build every part responsibly with only focus on patients
  • Integrity - Upholding ethical standards and transparency
  • Innovation - Being unapologetically creative

Vision

To identify or discover a drug for every disease

Core Values Diagram
CT Dock - Jan 2025

A minimally designed Module with most optimized user input to execute docking

Database Building – Feb 2025

Reinforcing the efficiency of module through well curated pre processed database of proteins and ligands available in open source. This reduces the user dependance on open source database

Improving docking efficiency through GPUs – Mar 2025

To improve the computational efficiency GPUs were used.

Ready for Beta users – April 2025

Classification module – Dec 2024

A simple yet effective digital screening workflow which could identify bioactive compounds for a targets based on available/provided data

Prediction module - Feb 2025

A more powerful, enhanced, customizable workflow which would precisely predict IC50 values for targets based on available/provided data

Database of bioactivity of compounds – Apr 2025

Curating a bioactivity database to reduce the user dependance on quality and quantity of data.

Advanced computational options for fine tuning data – Apr 2025

An Advanced mode enabled for fine results.

Ready for Beta Users – Apr 2025

Our Products

Accelerate drug discovery with AI-powered target identification, bioactivity prediction, and a robust compound database.

Target

Target Identification

Discover novel disease targets with Omics data analysis

Docking

Docking

Click to Dock

Bio

Bioactivity Prediction

Predict bioactivity of compounds using Powerful, Customizable AI/ML models for existing/new disease targets

Database

Database

Robust & organized chemical compound database with biological properties

Our Blogs

Blog 1

Advanced Molecular Docking

Exploring cutting-edge molecular docking techniques for drug discovery and protein-ligand interactions analysis.

Blog 2

RNA Sequencing Insights

Latest developments in RNA sequencing technologies and their applications in understanding gene expression patterns.

Blog 3

Bioactivity Prediction

Advanced computational methods for predicting biological activity of drug compounds using machine learning.

Blog 4

Molecular Dynamics Simulations

Understanding protein dynamics and drug interactions through advanced molecular dynamics simulation techniques.

Our Story – A founder’s Perspective

“She was a good person but still cancer won”

I believe in virtues, I believe in fairness. But nothing was fair in terminal illness.

The unfair thing is the acceptance that there isn’t treatment and the worst part is telling patients that we don’t have resources to find a treatment.

This statement has hit me hard and kept me awake at nights for answers. I have always felt if there were more medicinal chemists, more pharmaceutical scientists, and more people working on drug discovery, it could have yielded more drugs. In a very normal conversation with my co-founder (then just a friend who liked to have curious conversations), after a statistical discourse, we started ideating about regression models to predict properties of compounds. As he had interesting work experience in deep technology, we started to ideate an imaginary workflow and thus kick-started our journey into using AI/ML to support drug discovery pipelines.

Thus, the dream of “more medicinal chemists, more pharmaceutical scientists, and more people working on drug discovery” was fulfilled not by humans but by computers.

Our Story Image
Meet Our Experienced Team

Vedagiriswaran N

CEO

Work Experience

  • Chemical engineer by virtue, with specialisation & hands on experience on pharmaceuticals operations and management. The man behind all the pharmaceutical processes and workflows.

Kumara Guru R

CTO

Work Experience

  • A chemical engineer with specialisation & experienced in cheminformatics, AI/ML. The one who takes care of anything and everything in the digital space.
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