BioMap Launches World's First Generative Discovery System Powered by AI Foundation Model for Life Sciences

We are at a critical juncture in the history of human science, one driven byAIA new era driven by depth is accelerating.

The announcement of last year's Nobel Prize reflects the fundamental changes that scientific research is undergoing.——AI for ScienceNot only has it significantly improved research efficiency, but it has also fundamentally expanded the boundaries of humanity's ability to solve fundamental, interdisciplinary, and complex scientific problems.。

An increasing body of evidence suggests that artificial intelligence is transitioning from an auxiliary tool to a core driver propelling scientific breakthroughs, offering entirely new approaches to solving profound problems that have long troubled the scientific community.

At this historic moment,The core proposition that the industry urgently needs to solve is: how toAIHow to truly implement life sciences and transform model capabilities into scientific discovery capabilities?

4Month25Day，ByBioMapHosted byAILaunch Event of Generative Discovery System Driven by BioMap's Fundamental Large Model in Life SciencesInZhangjiang Science Hall, Pudong New Area, ShanghaiSuccessfully Convened, In China and internationallyDistinguished scholars, industry experts, and business leaders gather together., and engage in in-depth discussions and exchanges.

This press conferenceIn“Intelligent Evolution Discover the Future”As the core theme,PublishThe world's firstAIGenerative Discovery System Driven by a Large Model of Basic Life Sciences，First Comprehensive ShowcaseAIFull-Chain Driven by Large Fundamental Models in Life SciencesInnovation System, attracting nearly 200 guests to attend the event in person, with over 8,100 participants attending online.。

BioMap, as the global leader in foundational large model technology innovation and industrialization in life sciences,2024Year10Full-modal Bio Large Model Released in [Month]xTrimo V3, to2100BioMap Refreshes the World's Largest Scale in Life Sciences with Hundreds of Millions of ParametersAIBasic Model Record.

To assist customers and partners in maximizing the efficiency of cutting-edge large models, achieving integrated business processes, and enhancing productivity, relying on2100100 million parametersxTrimoMultimodal Large Models: BioMap Builds Comprehensive CoverageInformation Collection-Bio Insights-The Entire Process of Intelligent ExperimentsAIDiscovery Platform, helping life science companies improve R&D efficiency and accelerate business closure.

WhenAIThe role in scientific research has upgraded from a tool to a partner,Innovative forces represented by BioMap are deeply building a large-scale research model toolchain and ecosystem through systematic layout and continuous investment, accelerating the entry of life sciences into the intelligent era.

BioMap Reaches Another Milestone Nearly Five Years After Its Establishment

Member of the Party Committee and Deputy General Manager of Shanghai Zhangjiang Group Co., Ltd.Chen HengAttended the press conference and delivered a speech.

Chen Heng pointed out that BioMapxTrimo V3The Full-Modality Biological Large Model and Its Generative Discovery System Driven, isChina's Significant Contribution to the Global Life Science Infrastructure。

Figure:Chen Heng, Member of the Party Committee and Deputy General Manager of Shanghai Zhangjiang Group Co., Ltd.

As the core carrier of Shanghai's efforts to build a global science and technology innovation center, Zhangjiang Science City has gathered the world's top pharmaceutical companies, research institutions, and innovative enterprises in the life sciences field, forming a full-chain innovation ecosystem from basic research to industrialization.

He further stated,Zhangjiang GroupWillWith BioMapExpandDepthCollaborative，InScenario Empowerment, Ecological Synergy, and Technology RootingEmpowerAI+Life ScienceInnovationDevelopment。

Subsequently, BioMap PresidentDeng YongfuAlso delivered a speech, in which he first reviewed recent yearsAIA milestone event in the field.

Figure:President of BioMap, Deng Yongfu

"InAIAgainst the backdrop of the times, BioMap came into being."Deng Yongfu introduced,After nearly five years of development, the company has grown into a global leader in foundational large models for life sciences.

Deng Yongfu stated that traditional methods can no longer meet the demand, so the company hopes to build a foundational large model.Discover biological laws from massive data, predict cutting-edge issues with insufficient data, achieving from"Looking for a needle in the ocean" to "Following the map to find the target."

Currently, the companyServed globally500Multiple institutional clients, including49InstituteQSWorld's top 100 universities and multinational pharmaceutical companies such as Sanofi, with a total potential order value of20Billion US dollars.

What Exactly is the BioMap Generative Discovery System in Life Sciences?

After the opening remarks session concluded, BioMap's Vice President of TechnologyZhang XiaomingOfficially Introduced the BioMap Generative Discovery System for Life Sciences.

Figure: Zhang Xiaoming, Vice President of Technology at BioMap

The core of the discovery system is"Discovery Assistant," Zhang Xiaoming elaborated on the Discovery Assistant「 Professional-Executable-Exclusive" Characteristics, becomeThe Super Entrance of Life Science Discovery。

Furthermore, Zhang Xiaoming demonstrated the actual performance of the discovery assistant.BioASQResults from multiple authoritative evaluation sets show that "Discovery Assistant" leads other general-purpose tools in the field of life sciences.AI。

As the first dedicated in-depth exploration assistant in the life sciences field,"Discovery Assistant" understands requirements through intelligent interaction, automatically executes multi-dimensional information retrieval and analysis, and ultimately generates structured in-depth reports.

In addition, Zhang Xiaoming also introduced BioMap's customized data graph and large model customization capabilities for enterprises, and shared withChinese Academy of Agricultural Sciences, Shijiazhuang Pharmaceutical GroupSuccessful cooperation cases with institutions such as BioMap.

Finally, Zhang Xiaoming showcased BioMap's innovative system solutions for specific fields, such as intelligent fermentation and intelligent cell analysis systems, aimed at professional models.+Equipment is at the core of driving closed-loop discovery.

Immediately following, BioMap's Antibody Business Strategy LeaderWei YuanAn in-depth introduction to the antibody discovery solution in the BioMap generative discovery system for life sciences was presented.

Figure:BioMap Launches World's First AI-Driven Generative Discovery System for Life Sciences

Wei Yuan pointed out that traditional antibody development often requires months of repeated experiments and struggles to balance multi-dimensional parameter optimization, while BioMap'sMulti-objective optimization (MOO) Strategy, throughAIThe model can complete the prediction and screening of tens of thousands of sequences within a day.

In addition, Wei Yuan also showcased the company in"Breakthroughs on 'Undruggable' Targets,AIDriven Antibody De Novo Design for Precise Targeted Therapy Against Specific Epitopes.

It is reported that,Antibody discovery solutions now form the early molecular intelligence discovery,De novoGenerative Design and Bispecific Antibodies/Three Core Service Systems for Multi-Antibody Pipeline Development.

"We look forward to cooperating with more pharmaceutical companies," Wei Yuan summarized, stating that with the release of the generative system, the company's full-chain capabilities in the antibody field have been fully established, which will bring more breakthrough advancements to the industry.

Launch Ceremony of the Life Science Generative Discovery System: Guests including Chen Heng, Deng Yongfu, Liu Peng (Secretary), Wang Dengshan (Party Secretary and Director of the Institute of Biotechnology at the Chinese Academy of Agricultural Sciences), Li Huiming (Vice General Manager of Sinovac Biotech's New Drug Research Center), and Yang Yuedong (Chief Engineer of the National Supercomputing Center in Guangzhou) took the stage together to activate the system.

AIEmpowering Life Sciences: The Latest Evidence from Academia and Industry

Professor and Party Secretary of the School of Biomedical Engineering, Tsinghua UniversityLiu PengIntroduced the application in the process of teaching and scientific researchAIThe frontier exploration of intelligent agents, and shared the progress of strategic cooperation with BioMap.

Ph.D. Supervisor and Associate Researcher at the Biotechnology Institute of the Chinese Academy of Agricultural SciencesGuan FeifeiPoint out,In the knowledge domain of enzyme protein fermentation, large models+A knowledge assistant composed of a knowledge graph can quickly digest more than ten thousand scientific research papers,Will bring about a revolution in the way scientific literature knowledge is acquired。

The " jointly developed by the Chinese Academy of Agricultural Sciences and BioMapIntelligent Breeding Knowledge Assistant”SuccessShorten the acquisition of enzyme-related information from days to minutes, significantly improving R&D efficiency.

Vice General Manager of New Drug Research Center, Sinobioway Biomedicine Co., Ltd.Li HuimingIt is stated that in the early stage of drug discovery, it is necessary to read a large number of papers due to information overload. Sinovac utilizes BioMap's Discovery Assistant to accelerate early-stage knowledge mining and avoid project initiation errors.

In the molecular design scenario, Sinovac has reached an agreement with BioMap.Flux Breakthrough (Single run can generate thousands of candidate proteins) and Cycle Shortening (From3Months shortened to1.5months, of which dry experiments are only1Week)Two Major Phase-based Cooperation Achievements.

Project Leader of the Nucleic Acid Drug Research Institute at CSPC GroupDing ZhanIntroduced the company's use of BioMap Knowledge AssistantAccelerate the Efficiency of Nucleic Acid Drug DevelopmentThe work addresses the patent challenges of nucleic acid drugs from three dimensions: speed, accuracy, and depth.

AIWhat Are the Most Anticipated Developments in the Life Sciences Sector?

During the roundtable forum session, experts from various fields of life sciences focused on"In life science research and developmentAICurrent Status and Pain Points on the Ground"Brainstorm and Discuss TogetherAIInnovations and Breakthroughs Integrated with Life Sciences.

Jinyu Biotechnology Co., Ltd. Director of Research and DevelopmentLi JiePoint out,AIWith dual value in process efficiency improvement and scientific discovery.

"On the one hand,Large models can automatically generate standardized experimental reports; on the other hand,AIThe integration with cutting-edge technologies such as single-cell sequencing is pushing the boundaries of traditional understanding.”

Ph.D. Supervisor, Distinguished Researcher at Guangzhou National LaboratoryLi YixueIndicates that currentlyAIIn the "modern civilization" stage of development, innovative achievements are accelerating.

Formerly worked at BioMap, a global pioneer in synthetic biologyAmyris, a senior expert and former Chief Technology Officer of BioMapCai JiahongClaim, viaAIDriven metabolic pathway prediction and cloud-based automated experimental system, the team reduced the early R&D cycle from8-10Months shortened to45Day.

He, who was once the head of a company, further stated,AIIt is necessary to provide sufficient market evaluation data for project approval while improving the accuracy of decision-making.

Shenzhen BGIITDeputy DirectorLiang LungangemphasizedData CredibilityThe importance, and pointed outAILimited impact on top experts, but significantly improved the efficiency of ordinary R&D personnel, this kind of "Equal Competence"The phenomenon is worth attention."

In Conclusion

The aforementioned guestsThe wonderful sharing reveals, inThe Profound Impact of AI For Life ScienceIn change,The deep integration of data, algorithms, and computing power is redefining the boundaries of scientific discovery, opening up entirely new pathways for human understanding of the biological world.

With the capabilities of large models, researchers are not only able to uncover complex associations and causal mechanisms hidden within life processes but also achieve precise simulation, prediction, and even targeted modification of biological systems, advancing scientific research.ParadigmAchieve a historic leap from experience-driven to intelligence-driven.

In this critical process, BioMap is committed to providing a more efficient technical support system to build the best practices for large model applications in life sciences through a generative discovery system.，To become the best partner for intelligent transformation in the life sciences industry.

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