Notice on Printing and Distributing the "Shanghai Computational Biology Innovation and Development Action Plan (2023-2025)"

Shanghai Branch [2023] No. 148

All relevant units:

  With the consent of the municipal government, the "Shanghai Computational Biology Innovation and Development Action Plan (2023-2025)" is now issued to you, please seriously promote the implementation.

  Notice hereby.

  Shanghai Science and Technology Commission

  May 31, 2023

Shanghai Computational Biology Innovation and Development Action Plan (2023-2025)

  In order to thoroughly implement the spirit of General Secretary Xi Jinping's important instructions on digital China, seize the strategic opportunities for the innovation and development of computational biology in Shanghai, build a computational biology innovation highland with international influence, and empower the development of bio-economy and digital economy, according to the " The "14th Five-Year Plan" for Shanghai's construction of a globally influential technological innovation center and the "14th Five-Year Plan for the Development of Shanghai's Strategic Emerging Industries and Pioneering Industries" formulate this action plan.

  1. Guiding ideology

  Guided by Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, adhere to the "four orientations", based on the development stage of continuous development of interdisciplinary integration and profound changes in scientific research paradigms, combined with the rapid accumulation of cross-modal big data and the rapid development of artificial intelligence computing power The development trend of increasing and monetizable application scenarios, aiming at the development characteristics of computable modeling and quantitative prediction, promotes the deep integration of digital technology and biomedicine as the main line, and strengthens the advancement of R&D, technology, products, scenarios, and ecosystems. Organize the development of frontier-oriented underlying technologies, strategy-oriented iterative optimization of tools, and application-oriented platform system construction, and accelerate the use of China's own computational biology technologies and methods to solve key scientific research problems, drug development, and major disease prevention and treatment difficult problems, and effectively promote the high-quality development in the field of computational biology.

  2. Basic principles

  — Adhere to scientific guidance. Follow the laws of scientific development and major application needs, give full play to the basic advantages of Shanghai in the field of life sciences and medical care, lead by key scientific issues, rely on large-scale data and typical application scenarios, and accelerate the formation of a computational biology research and development system with Shanghai characteristics .

  — Adhere to the system layout. Focusing on the mutual empowerment and integration breakthroughs of biotechnology and information technology, connecting and laying out the innovation chain and industrial chain, linking resources from all parties, strengthening the gathering of elements such as R&D, technology, talents, and capital, and accelerating the transformation and application of research results.

  ——Insist on independent innovation. With original innovation and independent development as important standards, fully stimulate the vitality of various innovation subjects, create original theories and core products that others have, and others have, and make computational biology the source and benchmark of Shanghai International Science and Technology Innovation Center one.

  3. Main objectives

  By 2025, establish a computational biology research paradigm based on the full chain of modeling, prediction, and application, initially build infrastructure such as a biological big data platform, and train and introduce a group of computational biology talents. Engineering, AI drug research and development and other fields took the lead in achieving major theoretical breakthroughs, developed a batch of algorithm models and software with independent intellectual property rights and international influence, accelerated the birth of a batch of disruptive new technologies for life and health, and produced a batch of effective New tools, new standards, and new products for large-scale applications have laid the foundation for the formation of advantageous disciplines in the field of computational biology, and for making Shanghai a source of innovative ideas, scientific research paradigms, and major applications in the field of computational biology.

  4. Implement key projects to tackle key problems

  The system layout is carried out around basic research and applied basic research such as algorithm development, model construction, and AI drug design.

  Direction 1: Common algorithms for biological big data analysis . Facing the common problems of multi-scale biological big data analysis, develop common algorithms for biomedical big data mining and interpretation, develop algorithms and models for cross-scale, multi-modal omics data and real population multi-dimensional omics data, and establish biomolecular networks Reverse engineering models and digital models of biological systems.

  Direction 2: protein and nucleic acid design and transformation. Develop artificial intelligence-assisted molecular dynamics and enhanced sampling algorithms, develop my country's independent algorithms and software for macromolecular structure prediction and design, build analytical calculation processes and prediction models for macromolecular structure analysis and interaction, and build macromolecular engineering AI Design platform to guide macromolecular modification experiments and structure optimization.

  Direction 3: AI drug design. Develop original algorithms, models and computing platforms for AI drug research and development, develop large models and generation algorithms for small molecule drugs, establish artificial intelligence-enhanced large models and design platforms for antibody drugs and peptide drugs, and develop pharmacological and pharmacodynamic prediction models for traditional Chinese medicine compounds. Develop modern compounds with synergistic effects.

  Direction 4: Key technologies for precise diagnosis and treatment of major diseases. Develop original computational modeling methods and prediction algorithms, explore multi-level biological big data rules in major diseases such as tumors, aging, psychosomatic diseases, and neurodegenerative diseases, discover diagnostic markers and potential drug targets, and establish high-risk strain prediction methods to facilitate clinical and public health translational applications.

  5. Safeguard measures

  (1) Set up special support

  1. Set up a special project of "Computational Biology" in the Science and Technology Innovation Action Plan of the Municipal Science and Technology Commission. Focusing on major issues and main goals of multi-dimensional life sciences such as structure, omics, organoids, and individuals, and laying out basic research directions such as algorithms, model building, and drug generation with the concept of full-chain innovation, and building the source of innovation in computational biology.

  2. Actively plan and deploy major municipal science and technology projects. Relying on Shanghai's advantages and catering to Shanghai's needs, around the fields of "one-stop" drug development tools, data-driven disease mechanism research and target discovery, aging mechanism research and intervention, organized pre-research, timely deployment of municipal scientific and technological major The special project organically integrates Shanghai's superior forces in the field of computational biology to form a scientific research ecology with resource sharing and complementary advantages.

  (2) Building an innovation platform system

  3. Build the Shanghai biological big data platform. based on existing data resources, further strengthen the guiding role of financial funds, build a "core + node" database system with unified standards and strengthen applications, form my country's independent and controllable data resources and core technologies, and strengthen policies for data security and privacy protection Governance, providing high-quality basic guarantee for the development of computational biology, and actively undertaking the construction of the Yangtze River Delta node of the National Bioinformatics Center.

  4. Construction of key laboratories. Relying on various subjects such as the Institute of Chinese Academy of Sciences in Shanghai, affiliated universities, and technology-based enterprises, cultivate and prepare national and municipal key laboratories in the field of computational biology, and make breakthroughs in a number of original theories and common technologies.

  5. Build new research and development institutions. Build high-energy new research and development institutions, link relevant enterprises and institutions, carry out basic research and applied basic research, strengthen industry-university-research cooperation, and accelerate the application and transformation of results in the direction of drug targets, candidate drugs, and diagnosis and treatment technologies.

  6. Established the Computational Biology "Innovation Alliance". Establish an innovation alliance composed of universities, scientific research institutions and major enterprises, promote exchanges and cooperation in key links such as common algorithms, model development, and molecular design through collaborative innovation, implement "horse racing system" and "revealing list system" management, and improve scientific research Efficiency, forming continuous development capabilities in this field.

  (3) Connecting with industrial development

  7. Host the Shanghai Computational Biology Competition. Set up a Shanghai competition in this field, guide colleges and universities and enterprises to actively display original products in multiple links such as algorithms, software, and structures, establish a competition option mechanism, attract more potential users, and continuously improve Shanghai's computational biology at home and abroad. Influence.

  8. Promote the improvement of innovation energy level. By strengthening incubation, guiding and cultivating "long-term capital, patient capital" and other methods, we will accelerate the productization and industrialization of technology, realize the whole process of innovation, nurture the development of enterprises, and promote the improvement of the city's computational biology innovation and entrepreneurship level.

  (4) Strengthen talent introduction and education

  9. Cultivate advantageous disciplines. Encourage universities and institutes with self-examination qualifications to set up a first-level discipline of "computational biology" according to the development stage, build new course resources and teaching practice platforms, strengthen joint training of postgraduates, build a cross-professional talent training system in this field, and cultivate talents that meet the requirements of industrial development. Urgently needed innovative talents will provide better development channels and platforms for interdisciplinary subjects.

  10. Strengthen talent introduction. Give priority to attracting top scientists, entrepreneurs and investors with global appeal in this field, simultaneously improve supporting measures for leading talents to settle down, technology shares, etc., to accelerate the improvement of Shanghai's original scientific research level, drive discipline construction, promote industrial development, and cultivate talent teams .