中文
 

Follow us 

Hot Topic
Market News
Events & Promo
Career Tips
Education News
Health & Life
Matwings Demonstrates Closed-Loop Protein AI Through Four AI-Wet Lab Cycles and 222 Protein Variants
PRNewswire

Matwings Demonstrates Closed-Loop Protein AI Through Four AI-Wet Lab Cycles and 222 Protein Variants

Publish date: 20 Aug 2026

Follow us

Stay updated on the job market

Popular Articles

【面試自我介紹】見工首2分鐘黃金法則!Self-intro 內容時間分配+中英範本
【面試自我介紹】見工首2分鐘黃金法則!Self-intro 內容時間分配+中英範本
【放工先嚟 OT】打工仔崩潰共鳴!辦公室6個最令人憤怒的「極致掃興」時刻
【放工先嚟 OT】打工仔崩潰共鳴!辦公室6個最令人憤怒的「極致掃興」時刻
惜食香港運動「咪嘥嘢食店」計劃主辦 「識煮惜食」廚神爭霸戰即日起接受報名 召集綠色廚神 以創意廚藝實踐「惜食更滋味」
惜食香港運動「咪嘥嘢食店」計劃主辦 「識煮惜食」廚神爭霸戰即日起接受報名 召集綠色廚神 以創意廚藝實踐「惜食更滋味」
【面試攻略】「你最大缺點係咩?」見工5大陷阱問題拆解:教你答得加分唔得罪人
【面試攻略】「你最大缺點係咩?」見工5大陷阱問題拆解:教你答得加分唔得罪人
如何在工作中尋找快樂?打工仔必學5大「職場快樂法則」擺脫返工苦瓜乾
如何在工作中尋找快樂?打工仔必學5大「職場快樂法則」擺脫返工苦瓜乾

The GenSci148 program illustrates a shift from one-time mutation prediction to iterative protein engineering under real drug-development constraints

SHANGHAI, Aug. 20, 2026 /PRNewswire/ -- Shanghai Matwings Technology Co., Ltd. ("Matwings") today announced that GenSci148 Injection, an investigational ophthalmic biologic developed by Changchun GeneScience Pharmaceutical Co., Ltd. ("GenSci"), has received clinical trial clearance in China for neovascular age-related macular degeneration (nAMD), diabetic macular edema (DME) and retinal vein occlusion (RVO).

Matwings supported the GenSci148 program through four iterative AI–wet lab cycles covering 222 protein variants. Rather than applying AI as a one-time mutation-prediction tool, the teams repeatedly used experimental results to redesign both molecules and optimization objectives. The program progressed from improving biological activity to balancing potency, stability, expression, formulation and other development-relevant properties—illustrating a shift from predicting mutations to engineering therapeutic proteins under real drug-development constraints.

Four AI–Wet Lab Cycles, 222 Variants

Matwings and GenSci implemented a closed-loop workflow combining AI-guided molecular design, wet-lab testing, experimental feedback and redesign.

Across four iterative cycles, the teams evaluated 222 protein variants. The first two rounds assessed 92 and 30 variants, respectively, with an initial focus on biological activity. The next two rounds evaluated 50 variants each, expanding the optimization objectives to include high-concentration formulation viscosity and broader developability requirements.

Experimental results from each round were incorporated into subsequent design cycles, allowing not only the molecular designs but also the optimization objectives to evolve as evidence accumulated.

The campaign therefore progressed from:

activity optimization → broader developability optimization → multi-objective molecular engineering

Across the optimization campaign, experimentally tested variants demonstrated improvements or favorable performance across six development-relevant properties:

Development Parameter

Observed Result

VEGF-A binding affinity

Up to approximately 10-fold improvement

VEGF-A/C/D functional
blockade

Up to approximately 3-fold improvement

Nonclinical in vivo activity

Inhibitory activity observed 84 days after dosing in the
evaluated retinal model

Thermal stability

Tm increased by up to approximately 4.5°C

Protein expression

Increased by up to approximately 27.6%

High-concentration formulation
viscosity

Reduced by approximately 13 cP

Together, these results reflect optimization across three increasingly demanding dimensions of therapeutic protein development: biological performance, molecular developability and formulation-relevant properties.

In the nonclinical retinal model evaluated during the program, the optimized molecule maintained inhibitory activity 84 days after dosing. Under the specific experimental conditions tested, it also showed greater inhibition than aflibercept and faricimab.

These findings are preclinical and do not establish comparative clinical efficacy or safety.

Beyond Mutation Prediction: Engineering Proteins Under Real Drug-Development Constraints

Therapeutic protein engineering requires balancing biological activity with stability, expression, formulation and other development constraints. In the GenSci148 program, experimental results continuously informed subsequent AI-guided designs, enabling the optimization process to move beyond a single fixed objective.

Some experimentally validated mutations were located away from the conventional target-binding interface, illustrating how AI-guided exploration can identify productive regions of sequence space beyond interface-focused design.

The program also illustrates a broader progression in protein AI validation:

computational benchmarking → experimental validation → repeated integration within a real drug-development workflow

GenSci148 represents the third stage of this progression, with AI-guided design and experimental evidence repeatedly linked across successive engineering cycles.

The Venus Protein AI Stack

Matwings' Venus protein AI stack has evolved from sequence-centered modeling toward systems integrating three-dimensional structure, evolutionary information and task-specific capabilities. Importantly, the AI-guided engineering work supporting GenSci148 was conducted using Venus 1.0, while Venus has since advanced to Venus 3.0, represented by VenusREM, which integrates protein sequence, three-dimensional structure and evolutionary information for mutation-effect prediction.

Rather than relying on a single model, different components are applied to different protein R&D and engineering tasks within the broader closed-loop workflow.

Generation

Representative Model(s)

Information Integrated

Primary Role

Venus 1.0

Venus 1.0

Protein sequence

Sequence-
centered
modeling

Venus 2.0

Venus-ProSST

Sequence + 3D structure

Structure-aware
modeling

Venus 3.0

VenusREM

Sequence + 3D structure +
evolutionary information

Mutation-effect
prediction

Task-Specific
Models

Venus-FSFP, Venus-Maxwell, Venus-Mine, Venus-RXN, Venus-
Fold

Task-dependent

Protein R&D and
engineering

Certain models within the broader Venus portfolio are in development or planned stages.

Together, these models form a specialist AI stack that can be combined with experimental data and iterative design across different stages of protein engineering.

From External Validation to Therapeutic Creation

The GenSci148 collaboration provides external validation of Matwings' protein-engineering capabilities in a real therapeutic development program.

In March 2026, Matwings established Shanghai Biowings Therapeutics Co., Ltd. ("Biowings Therapeutics") to apply the same closed-loop engineering approach to internally originated therapeutic programs. Matwings develops the underlying AI and protein-engineering technology engine, while Biowings Therapeutics combines these capabilities with disease biology and drug-development expertise to create and advance therapeutic candidates.

"The real test of AI for science is not whether a model performs well on a benchmark, but whether it can create measurable value through repeated design–experiment cycles in an actual R&D program," said Prof. Liang Hong, Founder and Chief Scientist of Matwings. "GenSci148 marks an important step from demonstrating individual model capabilities toward building a repeatable protein-engineering system."

"Matwings contributed important molecular engineering and optimization capabilities to the GenSci148 program," said Dr. Lei Jin, CEO of GenSci. "Rather than relying on one-time predictions, the teams repeatedly combined AI-guided design with experimental evidence to improve properties relevant to drug development."

About Matwings

Shanghai Matwings Technology Co., Ltd. is an AI-driven protein R&D company integrating specialist AI models, computational molecular design and experimental validation to support iterative protein engineering and drug development.

For more information, visit www.matwings.com.

About Biowings Therapeutics

Shanghai Biowings Therapeutics Co., Ltd. focuses on AI-enabled therapeutic asset creation and clinical translation.

Scientific and Development Notice: GenSci148 is an investigational product. Its safety and efficacy have not been established. Preclinical findings are specific to the experimental systems and conditions evaluated and may not predict clinical outcomes.

Contact:

Website: www.matwings.com
E-mail: public@biowingsthera.com

Follow us

Stay updated on the job market

Popular Articles

【面試自我介紹】見工首2分鐘黃金法則!Self-intro 內容時間分配+中英範本
【面試自我介紹】見工首2分鐘黃金法則!Self-intro 內容時間分配+中英範本
【放工先嚟 OT】打工仔崩潰共鳴!辦公室6個最令人憤怒的「極致掃興」時刻
【放工先嚟 OT】打工仔崩潰共鳴!辦公室6個最令人憤怒的「極致掃興」時刻
惜食香港運動「咪嘥嘢食店」計劃主辦 「識煮惜食」廚神爭霸戰即日起接受報名 召集綠色廚神 以創意廚藝實踐「惜食更滋味」
惜食香港運動「咪嘥嘢食店」計劃主辦 「識煮惜食」廚神爭霸戰即日起接受報名 召集綠色廚神 以創意廚藝實踐「惜食更滋味」
【面試攻略】「你最大缺點係咩?」見工5大陷阱問題拆解:教你答得加分唔得罪人
【面試攻略】「你最大缺點係咩?」見工5大陷阱問題拆解:教你答得加分唔得罪人
如何在工作中尋找快樂?打工仔必學5大「職場快樂法則」擺脫返工苦瓜乾
如何在工作中尋找快樂?打工仔必學5大「職場快樂法則」擺脫返工苦瓜乾

Hottest Tags

#面試自我介紹
#Self Introduction
#見工開場白
#自我介紹範本
#2分鐘自我介紹
#英文自我介紹
#見工技巧
#面試攻略
#HR面試評分
#求職指南
#放工先嚟OT
#辦公室日常

Contact Us
Notice
Back to Top
We use cookies to enhance your experience on our website. Please read and confirm your agreement to our Privacy Policy and Terms and Conditions before continue to browse our website. Read and Agreed