技术平台-普递瑞（上海）医药有限公司

技术平台

TECHNOLOGY PLATFORM

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Peptide-based Degrader

Tripartite-designed Peptide Degrader

→ Cell-penetrating domain

→ Binding domain

→ Degron domain

Pioneering an only-in-class degrader modality

Unlocking New Therapeutic Opportunities in CNS disease

Highly Potent Small-molecule Candidates

with Accelerated and Cost-efficient Discovery

Small-molecule Degrader

Oral Molecular Glue/PROTAC Discovery

◆ AI-driven Modeling & Virtual Screening

◆ Structure-guided Rational Design

◆ High-throughput Proteomic Screening

◆ Novel Target & E3 Ligand identification

◆ Proximity-based Assay Validation

PRODEGRE ATLAS™ : 创新蛋白降解与互作平台

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Target Validation

multi-omics and rigorous biological validation

A target-centric strategy leveraging deep cellular and multi-omics insights to guide the rational design of degraders.

CNS-specific assessment framework

Behavior and imaging

Integrated behavioral and imaging capabilities enable clinically translatable evaluation of CNS and inflammatory diseases.

Translational Medicine

High relevance to human disease progression for disease-modifying evaluation, bridging preclinical and clinical translation.

NHP Model

robust NHP models for neurological diseases

转化医学

Prodegre is strategically building a comprehensive AI agent ecosystem to power multiple AI co-scientists

• An AI co-scientist platform that unifies hypothesis generation, reasoning, and experimental feedback to accelerate discovery, improve efficiency and reduce labour costs.

• Explore hypothesis space and generate testable biological hypotheses beyond human-scale search.

• Agents leverage structured memory and feedback to continuously learn, update knowledge, and reduce uncertainty in decision-making.

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AI co-scientist

AI agent ecosystem

In-house proprietary algorithms enabling systematic discovery of novel degrons

• β-hairpin G-loop & non-canonical motif discovery

• Molecular surface mimicry

• Novel E3 ligase degron motif discovery

• Integrated computational and experimental approaches

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Degron Discovery

Proprietary algorithms development

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Structure-guided Discovery

AI-driven ternary complex modeling and prediction

Prodegre leverages AI-driven structure-based prediction to power rational design of degraders

• High-quality structural ensembles

• Productive ubiquitination configurations

• Complex stability and residence time

• Prediction of BBB permeability

• DMPK Optimization under ternary complex constraints

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AI-Driven Discovery Platform

AI驱动的探索平台