In Silico Drug Design with Quantum Accuracy
NucleoPhi combines molecular simulation, quantum chemistry, and AI modeling to accelerate discovery with reproducible, decision-ready insights.
Our Service
Accelerate Innovation. Reduce Risk.
From molecular modeling to computational workflow design, our solutions help R&D teams accelerate discovery, reduce risk, and deliver reproducible results.
Small Molecule Drug Design
Use QSAR/QSPR modeling to design and evaluate small molecules faster. Reduce R&D cycles and improve hit-to-lead efficiency.
Oligonucleotide Design
Optimize oligonucleotide sequences and modifications with computational design and feature engineering. Achieve higher specificity and reduced trial-and-error.
Protein/Biologics Design
Eliminate costly trial-and-error by pre-screening candidates for stability, manufacturability, and affinity—reducing timelines and boosting success rates.
Chemical Material Design
Apply computational modeling to polymers, electrolytes, and advanced materials. Accelerate discovery and reduce experimental cost.
Data Analysis and Model Construction
Transform experimental or simulation data into validated models. Gain actionable insights, improve reproducibility, and drive smarter R&D decisions.
Computational Workflow Design
Modulize computational workflows with SOPs, governance, and reproducible pipelines. Improve collaboration and reduce rework.
FAQ
Tailored Solutions. Flexible for Any Budget.
Everything you need to know before working with us from timelines and compliance to results and guarantees.
How does the consulting process work?
Our process follows six steps: Scope Determination → Solution Proposal → Pilot Study → Result Presentation → Evaluation → Finalization & Execution. This ensures transparency and alignment at each stage.
What engagement models do you offer?
We offer fixed-price, milestone-based, time-and-materials, and retainer models, depending on project needs and level of support required.
Who owns the results and intellectual property?
Timelines depend on complexity, but small pilot studies can be completed in 2–4 weeks, while full-scale projects usually take 2–3 months or more.
Do you work with both academic and industry groups?
Yes. We collaborate with academic labs, biotech startups, and established companies worldwide.
Can you support grant or funding applications?
Yes. We provide preliminary computational results, methods descriptions, and figures that can strengthen the technical case of grant or funding proposals.
What deliverables will I receive at the end of a project?
Deliverables typically include a detailed report with figures and tables, curated datasets, and reproducible workflows or scripts. All results are prepared to be publication- or presentation-ready.
Case Studies
Physics-based. Data-driven. Discovery-focused.
Connect. Collaborate. Grow.
Be part of a growing community of molecular modeling and simulation. Share insights, discuss strategies, and stay updated with the latest trends.