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Funding Opportunity




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QuanDruPlex: Quantum-Inspired Drug Delivery and Off-Target Interaction Prediction

QuanDruPlex Inc

Legal Support Provided by DLA Piper LLP (USA)

QuanDruPlex is an emerging computational platform applying quantum-inspired molecular simulation to one of the hardest problems in drug development: predicting how drug molecules bind, distribute, and interact across biological environments—before costly preclinical or clinical failure.

While traditional screening and docking methods focus primarily on target affinity, many late-stage failures arise from off-target binding, tissue-specific toxicity, and delivery-related interactions that are not captured by classical approximations.

QuanDruPlex addresses this gap  of drug–target systems under biologically relevant conditions, including environments relevant to:

  • Kidney, liver, brain, tumor, and immune exposure, and others
  • Covalent and non-covalent binding mechanisms
  • Delivery-dependent interaction pathways

The platform integrates advanced quantum-classical strategies with modern computational infrastructure, allowing accurate evaluation of binding energetics, selectivity, and interaction risk while remaining computationally tractable for real drug-like systems.

Why this matters

Many delivery failures and toxicities arise from subtle electronic interactions missed by classical models

Predicting these effects earlier can reduce late-stage attrition, redesign risk, and unnecessary animal or human exposure

The approach supports discovery of first-in-class and best-in-class molecules, not just faster screening of existing chemistry

Opportunity for Academic Investigators

QuanDruPlex is inviting academic principal investigators, postdoctoral researchers, and computational chemistry groups to participate in collaborative projects focused on:

  • Drug delivery-relevant binding analysis
  • Off-target interaction prediction
  • Covalent and non-covalent drug mechanisms
  • Environment-dependent binding behavior
  • Selected collaborations may include:
  • Sponsored computational studies
  • Joint validation on challenging biological targets
  • Co-authored publications (where appropriate)
  • Access to emerging quantum-enabled simulation workflows

This program is designed for investigators interested in pushing beyond conventional docking and screening, and exploring how next-generation simulation can reshape drug delivery and safety assessment.

This program is intended for research-driven academic and translational teams working at the intersection of drug delivery, molecular interactions, and safety assessment, including both academic institutions and select early-stage biotech organizations.

Eligible Applicants

Applications are welcome from the following groups worldwide:

Academic & Non-Profit Researchers

  • Principal Investigators (PIs) at universities or academic medical centers
  • Postdoctoral researchers applying with PI support
  • Senior graduate students with demonstrated research focus and PI endorsement
  • Researchers at non-profit research institutes

Research-Focused Small Biotech & Early-Stage Pharma

  • Seed to Series B biotech companies
  • Translational research teams within small or virtual pharma organizations
  • Biotech startups developing preclinical or IND-enabling programs
  • Participation from industry is limited to organizations with a clear research and translational mandate. This program is not intended for late-stage commercial product development or contract screening services.

Research Backgrounds Well Suited for This Program

  • This opportunity is particularly relevant for teams working in:
  • Drug delivery and formulation science
  • Pharmacology and PK/PD
  • Medicinal chemistry and chemical biology
  • Computational chemistry and molecular modeling
  • Nanomedicine and biomaterials
  • Translational therapeutics and safety biology
  • Systems biology and off-target biology
  • Polypharmacy and combination therapy research

Both small molecules and delivery-enabled therapeutic platforms (e.g., formulations, conjugates, nanoparticles) are within scope.

Project Characteristics That Are a Good Fit

  • Projects well suited for this program typically involve:
  • Preclinical candidates with delivery, exposure, or toxicity uncertainty
  • Questions around off-target interaction risk
  • Comparative evaluation of delivery strategies or formulations
  • Mechanistic hypotheses that are difficult to probe experimentally alone
  • No prior experience in quantum computing or advanced simulation is required.

What This Program Is Not

To ensure clarity and protect intellectual property, this program is not intended for:

  • Contract research or fee-for-service screening
  • Method or algorithm development requests
  • Access to proprietary solver implementations or source code
  • Late-stage commercial optimization programs
  • Participants receive interpretable scientific outputs and comparative insights, not implementation-level access.

Ideal Applicant Profile (Summary)

The ideal applicant is a research-oriented academic or biotech team that:

Is working in early to mid-preclinical development

Faces delivery or safety-related uncertainty

Recognizes limitations of conventional docking or screening

Seeks deeper mechanistic insight to guide translational decisions

Sponsor Institute/Organizations: QuanDruPlex Inc

Sponsor Type: Corporate/Non-Profit

Address: Summer Street, Boston, USA

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Grant, Research Support

Letter Of Intent Deadline:

Jan 30, 2026

Final Deadline:

NA

Funding Amount:

$50,000

35 awards available. Research support

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