Specialized atomistic simulations, AI-driven drug design, and QM/MM enzyme engineering for Biotech, Pharma, and Chemical innovators. We turn months of wet-lab screening into targeted in silico decision gates.
You own all generated hits, scaffolds, data, and patentable matter.
Executed before any target structures or proprietary data are shared.
Led by Dr. Sérgio F. Sousa with 172+ peer-reviewed papers.
Milestone-driven project sprints aligned with your discovery deadlines.
We leverage advanced 3D visual computing, quantum-mechanical transition state modeling, and atomistic docking to deconstruct complex biological phenomena at single-Angstrom resolution.
Unlock sustainable chemical transformations. We employ hybrid Quantum Mechanics / Molecular Mechanics (QM/MM) to characterize catalytic mechanisms and redesign enzyme active sites for novel industrial substrates.
Eliminate non-viable chemical matter early. Our multi-tiered virtual screening pipelines integrate all-atom molecular docking, consensus scoring, and Free Energy Perturbation (FEP) to prioritize leads with nanomolar potency.
Rooted in over two decades of peer-reviewed computational excellence at the University of Coimbra, our services provide actionable, investor-grade scientific data.
Screen millions of compounds against your validated protein targets using consensus docking algorithms and strict pharmacokinetic filters.
Quantify conformational stability, allosteric pathways, and ligand residence times across microsecond all-atom physiological simulations.
Direct transition-state modeling to guide rational enzyme mutations, boost turnover numbers (kcat), and enable green synthetic routes.
Harness deep generative architectures and predictive machine learning models to invent novel, synthetically tractable chemical entities.
Rational in silico design of bifunctional degraders (PROTACs) and molecular glues to selectively eliminate disease-causing targets via ubiquitin-proteasome recruitment.
Flexible collaboration formats: tactical discovery sprints, dedicated corporate advisory, or joint grant co-applicants (Horizon Europe).
Biotech and pharma programs rarely fail from lack of ambition—they stall on molecular bottlenecks. Here is how our in silico strategies eliminate high-risk wet-lab roadblocks.
Your target lacks rigid, well-defined binding pockets, features high conformational flexibility, or relies on shallow protein-protein interaction (PPI) interfaces that defeat classical docking.
All-atom conformational ensemble sampling, cosolvent molecular dynamics for cryptic pocket detection, and multi-conformation consensus screening to locate druggable transient states.
Potent hit molecules frequently cross-react with homologous kinase isoforms, GPCRs, or anti-targets (hERG, CYP-450), threatening to derail in vivo efficacy or clinical safety.
Counter-screening docking panels and our Gulbenkian Award-winning Anti-Target profiling methodology to map selectivity margins and redesign compounds with micro-substitutions.
Bifunctional degraders require productive ternary complex formation (Target · PROTAC · E3 Ligase). Synthesizing dozens of arbitrary linker lengths and attachments is prohibitively expensive.
Full ternary complex sampling, protein-protein interface cooperativity calculation, and conformational linker optimization grounded in our €1M CaixaResearch Health degrader program.
Wild-type biocatalysts often lose catalytic activity at industrial temperatures, denature in organic solvents, or fail to yield enantiomerically pure pharmaceutical intermediates.
Hybrid QM/MM transition state mapping to compute activation barriers, combined with rational active site mutagenesis and surface engineering for thermal and solvent durability.
We deliver actionable, experiment-ready chemical intelligence—not raw data dumps. Every project terminates in a turnkey package designed for immediate laboratory ordering and wet-lab testing.
Whether you are an emerging venture pitching to venture capital or an established multinational optimizing API yield, our workflows fit seamlessly.
Secure investor validation with robust in silico target engagement and hit identification without the multi-million capital expense of an in-house HPC lab.
Augment your medicinal chemistry departments with high-throughput screening, free energy perturbation (FEP) pipelines, and ADMET liability mitigation.
Engineer proprietary enzymes for bio-based materials, sustainable specialty chemicals, flavorings, and active cosmetic ingredient synthesis.
Fortify international consortia, co-patents, and competitive grant proposals (Horizon Europe) with world-class computational chemistry leadership.
We offer clear, contractually flexible collaboration frameworks designed to fit startups, global pharmaceutical enterprises, and academic-industrial consortia.
A targeted computational campaign tailored to solve a single discrete milestone (e.g., screening a target, evaluating a PROTAC ternary, or redesigning an enzyme active site).
An embedded computational chemistry extension to your internal medicinal chemistry team, supporting recurring iterative Design-Make-Test-Analyze (DMTA) cycles.
Joint scientific leadership for collaborative European and international grants, leveraging advanced computational infrastructure and university co-funding mechanisms.
A structured, milestone-driven framework designed to deliver validated computational insights within your R&D deadlines, under strict confidentiality.
We establish a bilateral NDA, review your target's structural data and feasibility, and define precise project milestones and deliverables.
We deploy validated molecular simulation, quantum chemistry, and machine learning workflows on dedicated high-performance computing clusters.
You receive prioritized candidate lists, structural rationales, and full coordinate data, followed by a direct scientific debriefing to guide experimental testing.
Connect with our group leader at the University of Coimbra. We will evaluate your targets under strict confidentiality and propose an optimized computational roadmap.
Specify your target challenge below to generate a pre-structured consultation briefing.