Quantum AI - Biotech
Quantum-Inspired AI  ·  AMR  ·  Peptide Discovery

Quantum-Inspired AI for
Charge-Density Guided
Drug Discovery

QubitONeuron is building a research-backed computational engine combining quantum-inspired optimization, BIQML, physics-guided modelling, and antimicrobial peptide discovery to fight drug-resistant infections.

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1.27M
AMR Deaths (2019)
7×
Pipeline Steps
∞
Discovery Potential
Research Foundation

Science-First Discovery

Our work is inspired by recent advances in antimicrobial peptides, charge-density based machine learning, and quantum-inspired artificial intelligence.

Research paper 1

Charge-Density Guided AMP Learning

Motivates our focus on peptide charge regimes and mechanistic feature interpretation.

Reference: Add paper DOI / citation here.
Research paper 2

AI for Antimicrobial Peptides

Shows how AI can classify, rank, and generate antimicrobial peptide candidates.

Reference: Add paper DOI / citation here.
Research paper 3

Quantum-Inspired Optimization

Supports high-dimensional search and feature optimization beyond classical greedy methods.

Reference: Add paper DOI / citation here.
Core Technology

BIQML: Brain-Inspired
Quantum Machine Learning

BIQML combines neural learning behaviour with quantum-inspired search to identify meaningful patterns in complex biological data.

BIQML architecture
01

Peptide Feature Input

Sequence, charge, hydrophobicity, stability, and physicochemical descriptors are collected.

02

Physics Encoding

Charge-density and biological constraints are encoded to reduce blind black-box prediction.

03

Quantum-Inspired Search

The system explores high-dimensional feature combinations more efficiently.

04

Candidate Ranking

AMP candidates are ranked based on predicted activity, toxicity, stability, and biological relevance.

Global Health Crisis

AMR: A Global
Health Emergency

Antimicrobial resistance is one of the most urgent global health challenges, demanding faster and smarter therapeutic discovery.

AMR global mortality

Global AMR Mortality

AMR caused an estimated 1.27 million direct deaths globally in 2019.

Murray et al., The Lancet, 2022.
AMR map India

India and AMR Burden

India is among the high-burden regions where new antimicrobial strategies are urgently needed.

Naghavi et al., The Lancet, 2024.
Why this matters: Traditional antibiotic discovery is slow, costly, and often fails against rapidly evolving microbes. QubitONeuron focuses on antimicrobial peptides because AMPs offer multi-mechanism biological action and may reduce resistance risk.
Discovery Engine

How QubitONeuron Works

Our discovery engine converts biological data into optimized antimicrobial peptide candidates through a structured AI + quantum-inspired pipeline.

01

Dataset

AMP and non-AMP peptide datasets.

02

Feature Extraction

Sequence, charge, structure, and physicochemical properties.

03

Charge Stratification

Low, mid, and high charge-density regimes.

04

Quantum Optimization

Best feature combinations and peptide search.

05

AI Prediction

Activity, toxicity, stability, and developability.

06

Lead Ranking

Most promising candidates selected.

07

Validation

Future lab feedback improves the model.

The Builders

Founding Team

A cross-disciplinary founding team combining physics, artificial intelligence, quantum algorithms, and computational drug discovery.

Mousam Mondal
Mousam Mondal
CEO & Co-Founder

AI/ML researcher in physics leading vision, product strategy, and quantum-inspired AI development.

Dr. Prathit Chatterjee
Dr. Prathit Chatterjee
CSO & Co-Founder

Scientist in data-driven drug discovery leading AMP research, biology strategy, and validation roadmap.

Subash Shankar Pandey
Subash Shankar Pandey
CTO & Co-Founder

Researcher in quantum computing algorithms and quantum AI leading technical architecture.

Investment Opportunity

Funding & Vision

We are seeking early-stage funding, research partnerships, and computational resources to scale our platform, validate first AMP candidates, and build a defensible IP portfolio.

Use of Funds

  • Quantum-inspired AI engine development
  • Cloud GPU and compute infrastructure
  • Peptide candidate generation
  • Lab validation partnerships
  • Patent filing and research publications

Near-Term Milestones

  • Finalize MVP discovery pipeline
  • Generate first AMP candidate set
  • Establish pharma/research collaborations
  • Build validation and IP roadmap
Get In Touch

Let's Build the Future of
Drug Discovery

We are open to investors, pharma partners, biotech collaborators, research groups, and deeptech ecosystem supporters.

Contact CEO Contact Science Team →