头像

Fang Bai, PhDAssociate Professor

Tel:

Email: baifang@@shanghaitech.edu.cn

Fax: 86-21-20685430

Add: 393 Middle Huaxia Road, Pudong, Shanghai

Faculty KMS Profile

中文信息English

Principal investigator

Name:

Fang BaiAssociate Professor , PhD, Associate Professor

Position:

Affiliation:

School of Life Science and Technology, Shanghai Institute for Advanced Immunochemical Studies

Honor:

Education Background:
  • 2004/09-2009/07, Dalian University of Technology, BE; BA
  • 2009/09-2014/05, Dalian University of Technology, Ph.D
Working Experience:
  • 2014/08-2019/05, Rice University, Postdoctoral Reserach Fellow
  • 2019/05-2019/09, UT Health Science Center at Houston, Assistant Professor of Research
  • 2019/10-2025/04, ShanghaiTech University, Assistant Professor (TENURE-TRACK)
  • 2025/04-present, Shanghaitech University, Associate Professor(TENURED)

Group Introduction

Research Area:
Drug Design and Developmen
Research Interests:

    Our research group is dedicated to the prediction and modulation of protein–protein interactions (PPIs), one of the most challenging classes of undruggable therapeutic targets. We develop computational theories, algorithms, and enabling technologies for innovative drug discovery. 

    To address the dual challenges of high-dimensional complexity and limited data availability in drug design, we establish a collaborative paradigm that integrates physics-based modeling with artificial intelligence-driven approaches, advancing the rational design and discovery of novel therapeutic molecules.

    Focusing on the entire drug discovery pipeline, we have established a three-tier computational framework for rational drug design and continuously expand its capabilities through methodological and algorithmic innovations: (1) elucidation of protein structural dynamics and functional mechanisms to reveal the conformational landscapes and regulatory principles of biomacromolecules; (2) prediction of protein–protein interactions and precise identification of druggable sites to characterize interaction networks and discover actionable therapeutic targets; and (3) intelligent design of multimodal therapeutic molecules, including occupancy-driven small-molecule modulators and event-driven protein degraders, enabling the rational design and optimization of next-generation therapeutics.

    Building upon this framework, our research focuses on the development of innovative therapeutics for cancer, metabolic disorders, and broad-spectrum antiviral applications. By integrating artificial intelligence, computational biology, and medicinal chemistry, we aim to provide fundamental theories, advanced computational methodologies, and enabling technologies for the precise modulation of challenging therapeutic targets and the discovery of potential new drugs.


Website of the research group：https://bailab-shanghaitech.siais.shanghaitech.edu.cn/ （new）or

https://bailab.siais.shanghaitech.edu.cn/ （old）


Group Website:

Research Achievement

Representative Publications (*First Author, # Corresponding Author)

Monograph

Patent

Funding

Awards

Research Achievement

Group Member and Photo

  • Name：Xianglei Zhang
    Position：Postdoct
    Duration：2020.08-present
    Email：
  • Name：Pengxuan Ren
    Position：Postgraduate Student
    Duration：2019.09-present
    Email：
  • Name：Lin Wang
    Position：Postgraduate Student
    Duration：2019.09-present
    Email：
  • Name：Ruofan Xiong
    Position：Postgraduate Student
    Duration：2019.09-present
    Email：
  • Name：Shuai Yan
    Position：Undergraduate Student
    Duration：2020.01-present
    Email：
  • Name：Lianghao Zhao
    Position：Undergraduate Student
    Duration：2020.1-presnet
    Email：
  • Name：Wenjing Wu
    Position：Undergraduate Student
    Duration：2020.02-present
    Email：
  • Name：Guo Chen
    Position：Undergraduate Student
    Duration：2020.2-present
    Email：
  • Name：WenXuan Li
    Position：Undergraduate Student
    Duration：2020.2-present
    Email：
  • Name：Xuyang Li
    Position：Undergraduate Student
    Duration：2020.05-present
    Email：
  • Name：Huiqiong Li
    Position：Visiting Student
    Duration：2019.11-2020.7
    Email：
  • Name：Bingqian Li
    Position：Visiting Student
    Duration：2020.7-2020.9
    Email：
返回原图
/