Enterprise Deeptech Products

Production-Grade Biocomputational Systems

Engineered for biotech innovators, global pharmaceutical leaders, and institutional researchers. Deploy individual modules or license the complete Ultraceuticals OS.

REGULATORY COMPLIANCE STANDARD

Dossier360™

Autonomous Multi-Agent Regulatory & Freedom-to-Operate Intelligence

Modern biopharmaceutical due diligence requires algorithmically deterministic triaging across Intellectual Property (IP) & Freedom-to-Operate (FTO), Bioequivalence (BE), and Therapeutic Interchangeability. Dossier360 deploys specialized autonomous agent swarms that parse Hatch-Waxman patent thickets, BPCIA 351(k) biosimilar pathways, Orange and Purple Book listings, and ICH Q6A specifications.

Hatch-Waxman Patent Thicket De-clustering (Dossier360™)

Orange & Purple Book Patent Landscape (Section 102/103 Invalidation)

Orange Book & WIPO Graph TraversalFreedom-to-Operate: Paragraph IV Clearance Ready

Core Functional Capabilities:

Autonomous invalidation grounds construction (Section 102 anticipation / Section 103 obviousness)

Dynamic Orange & Purple Book patent landscape clustering

Bioequivalence risk score across BCS Class I-IV compounds

Audit-compliant generation of Paragraph IV certification briefs

Engine Benchmarks

Compliance StandardFDA 21 CFR 320/314

IP LandscapeUSPTO, EPO, WIPO

Data Isolation100% Air-Gapped

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DE NOVO GENERATIVE SUITE

BioDesign Studio™

Unified Small Molecule & Biologics Generative Engineering

BioDesign Studio bridges small molecule medicinal chemistry and complex macromolecular biologics. Whether synthesizing novel kinase allosteric inhibitors, macrocyclic peptides, or humanized monoclonal antibodies (mAbs), the system applies deep structural diffusion models to optimize affinity, developability, and target selectivity.

Monoclonal Antibody Fab/CDR H3 Epitope Engagement

BioDesign Studio™ Antibody Fab/CDR H3 Binding

Immunoglobulin Structure (IgG1 Framework)Binding Affinity: Sub-nanomolar (Kd = 0.42 nM)

Core Functional Capabilities:

Antibody Complementarity-Determining Region (CDR H3) design

Target-conditioned 3D pocket ligand diffusion generation

Pareto Multi-Objective Optimization (Potency, Solubility, Toxicity)

Automated retrosynthetic pathway validation (SAScore)

Engine Benchmarks

Affinity ThresholdSub-nanomolar (Kd)

Modality SupportSmall Mol, Peptide, mAb, ADC

Latency< 48 hrs / campaign

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STRUCTURAL BIOLOGY ENGINE

FoldPredict™

Sub-Angstrom Protein & Macromolecular Complex Modeling

Proteins are dynamic conformational ensembles, not static crystal snapshots. FoldPredict predicts multi-state protein conformations, quaternary protein-protein interactions (PPI), and cryptic allosteric pockets with sub-angstrom root-mean-square deviation (RMSD).

3D Protein Structure Folding (FoldPredict™)

FoldPredict™ Sub-Angstrom Conformation (RMSD: 0.84Å)

Conformational Folding TrajectoryRMSD: 0.84 Å | pLDDT Score: 94.6

Core Functional Capabilities:

Ultra-fast multiple sequence alignment (MSA) construction

Cryptic pocket revealer identifying hidden druggable grooves

Point mutation tolerance & thermodynamic stability (ΔΔG)

Membrane protein & GPCR multi-state conformational modeling

Engine Benchmarks

Resolution< 1.2 Å RMSD

SamplingConformational Ensembles

Throughput10,000 residues / min

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QUANTUM / MOLECULAR MECHANICS

DynaDock™ MD & FEP

High-Precision GPU Molecular Dynamics & Free Energy Perturbation

DynaDock pairs microsecond-scale GPU all-atom molecular dynamics with rigorous Free Energy Perturbation (FEP+) and QM/MM induced-fit docking. It precisely quantifies thermodynamic binding free energy (ΔG), entropic penalties, and water-mediated hydrogen bonding networks.

Active Docking Dynamics (DockAI™)

DynaDock™ Induced-Fit Pocket FEP Trajectory

Conformational Ensemble SearchPredicted ΔG: -11.4 kcal/mol

Core Functional Capabilities:

Alchemical Free Energy Perturbation (FEP) with ± 0.8 kcal/mol accuracy

Explicit solvent amber forcefield simulation with CUDA 13.0 acceleration

Induced-fit flexible residue side-chain adjustment during docking

Residence time and unbinding kinetics (koff) profiling

Engine Benchmarks

FEP Accuracy± 0.8 kcal/mol

HardwareNVIDIA L4 Tensor GPUs

TimescaleMicrosecond Ensemble

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PRECLINICAL ADMET SUITE

SpectraRank™ ADMET

High-Fidelity Pharmacokinetics & Blood-Brain Barrier Penetration

SpectraRank combines deep graph neural networks and molecular mechanics to evaluate drug-likeness, blood-brain barrier permeability, and cardiotoxicity risks. It accurately computes log BB ratios, P-glycoprotein efflux pump liabilities, and hERG safety margins before animal in vivo testing.

Blood-Brain Barrier Transcellular Permeability & P-gp Efflux (SpectraRank™)

SpectraRank™ CNS Lead (BBB log BB = +0.42)

CNS Penetration Index (log BB = +0.42)Cardiotoxicity Safety: hERG IC50 > 30 µM (Clean)

Core Functional Capabilities:

Transcellular Blood-Brain Barrier (BBB) passive permeability prediction (log BB)

P-glycoprotein (P-gp) substrate and inhibitor liability profiling

hERG potassium channel cardiotoxicity clearance thresholding (IC50 > 30 µM)

Cytochrome P450 (CYP3A4, 2D6, 2C9) metabolic stability and half-life forecasting

Engine Benchmarks

BBB CorrelationR² = 0.89 vs in vivo

hERG Safety MarginIC50 > 30 µM

Throughput100,000 cmpds / min

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