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
蛋白质序列挖掘到底怎么“挖”？我们试了这家公司的对话式智能体
如何在茫茫序列之海中，高效、准确地挖掘出那几条真正能解决实际问题的“黄金序列”？过去靠专家经验，靠漫长的试错，靠运气。现在，天鹜科技推出了一个叫MatwingsVenus™（晓鹜™）智能体的工具，试图把这件事变成一种更像日常对话的能力。
AI for Protein：当人工智能学会“造物”，蛋白质设计迎来iPhone时刻
AI正在颠覆蛋白质设计：从盲人摸象的随机筛选到精准预测与创造，中国团队仅用4个月完成传统需2-5年的工业级蛋白改造，对话式智能体让复杂研发变得像聊天般简单——这场生物制造的底层革命已进入交付时代。
AI定向进化：解锁蛋白质设计的未来密码
从耗时数年的高通量筛选，到几个月内完成多轮活性迭代——AI正在重新定义蛋白质研发的基本逻辑
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.
2025-07-15
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.
2025-07-15
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
