概述
MatwingsVenus™ 是面向高校科研工作者、企业研发人员、医护工作者与生物爱好者，打造的轻量级 AI 生物设计 + 湿实验验证 + 专家协同的研发闭环平台。
数据积累：整合 NCBI、UniProt、MGnify 等各大数据库百亿条标注序列数据集。
Agent能力：整合智能对话、蛋白序列分析、定向突变设计、酶挖掘、从头设计、结构预测与数据库检索等核心功能，让复杂的生物信息学任务以对话方式完成。
湿实验验证：平台支持一键下单基因合成、蛋白表达验证、蛋白纯化等服务。
专家协同：在蛋白质设计全流程中，您可随时发起专家咨询。我们将协调领域专家，及时解答您的问题，评估 AI 模型的设计结果，并为设计方案提供专业判断、优化建议与深入见解。
智能体核心研发流
模拟人类专家的思考过程，自动化执行复杂的生物信息学任务。
智能助手
主动式AI助手，自然语言即可帮助用户解决科研问题，加速科学发现。完成结构预测、专利检索、文献检索等任务，支持直连 PubMed、PDB、UniProt 等多数据库。
蛋白改造
AI 定向进化领域的全球第一技术：支持多轮活性提升，已在 30 余个产业项目中验证效果。平台可进行单点饱和突变预测，或结合用户的湿实验数据进行多点突变预测，并识别功能位点进行风险分析和理化性质预测。
蛋白发现
从数亿序列中快速定位目标蛋白，依托零样本预测能力、跨越序列限制通过结构搜索功能相似的蛋白。
海量蛋白质数据库检索
连接百亿级蛋白质 序列与结构数据库
核心检索技术
亮点
先进模型能力
百亿级参数-Venus-系列模型，具备世界领先的零样本预测、多轮进化、功能预测能力。
海量数据库支撑
海量私有极端环境蛋白质序列数据集，十余专业数据库，信息覆盖全面。
可验证的预测效果
蛋白进化已在 30+ 产业项目中成功交付，蛋白发现能突破序列相似性低的限制找到功能相似酶。
极致轻量化体验
所有专业能力均可通过一句话触发，无需生信背景或复杂操作，让科研者专注科学问题本身。
新闻公告
蛋白工具箱：为蛋白质设计装上“会思考的操作系统”
AI预测与自动化实验正将蛋白质设计从少数科学家的专利变为普惠工具。天鹜科技的MatwingsVenus 平台像“AI副驾驶”，用自然语言指令调度数百种工具，实现从设计到湿实验验证的闭环，将数月流程压缩至小时级，让个人研究者也能完成复杂蛋白研发。
AI蛋白实验室：当生命科学遇上人工智能，你也能成为“上帝之手”
曾几何时，蛋白质设计是少数顶尖科学家的专属领域。如今，AI的介入正在打破这一壁垒，让“天堑”变通途。
科研Agent：科研界的“GPT时刻”已来
当AI从"工具"蜕变为"搭档"，科研Agent正以"自动驾驶"模式颠覆传统研究——6小时完成博士数月工作量，对话式指令即可驱动蛋白质设计、实验验证与迭代优化的全闭环，让尖端科研触手可及。
学术发表
VenusX: Unlocking Fine-Grained Functional Understanding of Proteins
ICLR, 2026.
2026-01-26
Fast and Interpretable Protein Substructure Alignment via Optimal Transport
ICLR, 2026.
2026-01-26
Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models
NeurIPS, 2025
2025-09-19
STAGE: A compact and versatile TnpB-based genome editing toolkit for Streptomyces
Proceedings of the National Academy of Sciences, 2025
2025-08-26
From high-throughput evaluation to wet-lab studies: advancing mutation effect prediction with a retrieval-enhanced model
ISMB/ECCB, 2025.
22025-07-15
Harnessing protein language model for structure-based discovery of highly efficient and robust PET hydrolases
Nature Communications, 2025
2025-07-05
VenusFactory: An Integrated System for Protein Engineering with Data Retrieval and Language Model Fine-Tuning
ACL Demo, 2025.
2025-07-01
A Deep Retrieval-Enhanced Meta-Learning Framework for Enzyme Optimum pH Prediction
J. Chem. Inf. Model, 2025,
2025-03-24
VenusMutHub: A systematic evaluation of protein mutation effect predictors on small-scale experimental data
Acta Pharmaceutica Sinica B, 2025
2025-03-14
Entropy-driven zero-shot deep learning model selection for viral proteins
Physical Review Research, 2025,
2025-02-28
AI-enabled Alkaline-resistant Evolution of Protein to Apply in Mass Production
Elife, 2025,
2025-02-19
Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection
ICLR, 2025.
2025-01-23
PROTSOLM: Protein Solubility Prediction with Multi-modal Features
IEEE BIBM, 2024.
2025-01-10
Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph Diffusion
IEEE BIBM, 2024.
2025-01-10
Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?
IEEE BIBM, 2024.
2025-01-10
VenusX: Unlocking Fine-Grained Functional Understanding of Proteins
ICLR, 2026.
2026-01-26
Fast and Interpretable Protein Substructure Alignment via Optimal Transport
ICLR, 2026.
2026-01-26
Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models
NeurIPS, 2025
2025-09-19
STAGE: A compact and versatile TnpB-based genome editing toolkit for Streptomyces
Proceedings of the National Academy of Sciences, 2025
2025-08-26
From high-throughput evaluation to wet-lab studies: advancing mutation effect prediction with a retrieval-enhanced model
ISMB/ECCB, 2025.
22025-07-15
Harnessing protein language model for structure-based discovery of highly efficient and robust PET hydrolases
Nature Communications, 2025
2025-07-05
VenusFactory: An Integrated System for Protein Engineering with Data Retrieval and Language Model Fine-Tuning
ACL Demo, 2025.
2025-07-01
A Deep Retrieval-Enhanced Meta-Learning Framework for Enzyme Optimum pH Prediction
J. Chem. Inf. Model, 2025,
2025-03-24
VenusMutHub: A systematic evaluation of protein mutation effect predictors on small-scale experimental data
Acta Pharmaceutica Sinica B, 2025
2025-03-14
Entropy-driven zero-shot deep learning model selection for viral proteins
Physical Review Research, 2025,
2025-02-28
AI-enabled Alkaline-resistant Evolution of Protein to Apply in Mass Production
Elife, 2025,
2025-02-19
Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection
ICLR, 2025.
2025-01-23
PROTSOLM: Protein Solubility Prediction with Multi-modal Features
IEEE BIBM, 2024.
2025-01-10
Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph Diffusion
IEEE BIBM, 2024.
2025-01-10
Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?
IEEE BIBM, 2024.
2025-01-10
