About Us
Hefei Kejing Biotechnology Co., Ltd., founded in 2022, is a high-tech enterprise focused on integrating artificial intelligence (AI) with biotechnology. With strong R&D capabilities and innovative technologies, we are committed to accelerating breakthroughs in life sciences, drug discovery, and medical research.
Our team brings together top talent from biotechnology and AI, working through interdisciplinary collaboration to tackle complex scientific challenges and expand the boundaries of technological applications.
We specialize in computer-aided high-throughput virtual screening, combining bioinformatics, computational biology, and AI algorithms to deliver precise and efficient molecular screening solutions. These technologies are widely applied in life science research, medical diagnostics, and new drug development, significantly improving screening efficiency and reducing costs.
By providing intelligent solutions for the biopharmaceutical, healthcare, and life sciences industries, we help our clients accelerate the transformation from research to real-world applications, driving innovation and progress across the field.
Cooperative unit
Service Solutions
Service Solutions
-
-
Determine the modification area
-
ProteinMPNN iterative design
-
HDOCK binding energy evaluation
-
AlphaFold overall evaluation
More
-
-
-
Requirement analysis and function definition
-
Framework structure design and generation
-
Sequence optimization and prediction validation
-
Affinity evaluation
More -
-
-
Determine the blocking region of the antigen protein
-
Design and screen binding peptides
-
Build nanobody library
-
Docking screening and evaluation
More -
-
-
Preparation of nanobody library
-
MegaDock initial docking screening
-
HDock refined docking screening
-
AlphaFold one-on-one precise analysis
More -
-
-
Build target protein library
-
Molecular docking screening
-
Visualize binding conformation
More -
-
-
Select personalized compound library
-
Screen high-affinity compounds in batches
-
Visualize binding conformation
More -
-
-
Select target species protein library
-
MegaDock initial docking screening
-
HDock refined docking screening
-
AlphaFold one-on-one precise analysis
More -
-
-
RFdiffusion designs high-interaction proteins
-
Foldseek performs structural search for natural proteins
-
HDock quantifies and evaluates binding energy
-
AlphaFold provides overall evaluation of the complex structure
More -
-
-
Determine the modification area
-
ProteinMPNN iterative design
-
HDOCK binding energy evaluation
-
AlphaFold overall evaluation
More -
-
-
Requirement analysis and function definition
-
Framework structure design and generation
-
Sequence optimization and prediction validation
-
Affinity evaluation
More -
-
-
Determine the blocking region of the antigen protein
-
Design and screen binding peptides
-
Build nanobody library
-
Docking screening and evaluation
More -
-
-
Preparation of nanobody library
-
MegaDock initial docking screening
-
HDock refined docking screening
-
AlphaFold one-on-one precise analysis
More -
-
-
Build target protein library
-
Molecular docking screening
-
Visualize binding conformation
More -
-
-
Select personalized compound library
-
Screen high-affinity compounds in batches
-
Visualize binding conformation
More -
-
-
Select target species protein library
-
MegaDock initial docking screening
-
HDock refined docking screening
-
AlphaFold one-on-one precise analysis
More -
-
-
RFdiffusion designs high-interaction proteins
-
Foldseek performs structural search for natural proteins
-
HDock quantifies and evaluates binding energy
-
AlphaFold provides overall evaluation of the complex structure
More -
Model Introduction
-
-
Deep learning model specifically designed for protein sequence design
-
Quickly generates sequences that highly match the target structure
More
-
-
-
Based on diffusion generative model architecture
-
Efficiently generates protein structures that meet specific functional requirements
More
-
-
-
Combines graph neural networks and self-attention mechanisms
-
Accurately predicts the binding mode between compounds and protein targets
More
-
-
-
Utilizes deep neural networks to predict complex docking scenarios
-
Improves the accuracy and efficiency of traditional molecular docking methods
More
-
-
-
Uses optimized scoring functions and efficient search algorithms
-
Quickly provides high-precision docking results
More
-
-
-
Comprehensive molecular docking software
-
Supports flexible docking and conformational changes
More
-
-
-
New approach for nucleic acid molecular function research
-
Accurate prediction of nucleic acid monomer/complex 3D structure
More
-
-
-
Revolutionary artificial intelligence system
-
Comprehensive protein monomer/complex prediction model
More
-
-
-
Deep learning model specifically designed for protein sequence design
-
Quickly generates sequences that highly match the target structure
More -
-
-
Based on diffusion generative model architecture
-
Efficiently generates protein structures that meet specific functional requirements
More -
-
-
Combines graph neural networks and self-attention mechanisms
-
Accurately predicts the binding mode between compounds and protein targets
More -
-
-
Utilizes deep neural networks to predict complex docking scenarios
-
Improves the accuracy and efficiency of traditional molecular docking methods
More -
-
-
Uses optimized scoring functions and efficient search algorithms
-
Quickly provides high-precision docking results
More -
-
-
Comprehensive molecular docking software
-
Supports flexible docking and conformational changes
More -
-
-
New approach for nucleic acid molecular function research
-
Accurate prediction of nucleic acid monomer/complex 3D structure
More -
-
-
Revolutionary artificial intelligence system
-
Comprehensive protein monomer/complex prediction model
More -
Latest News
Join us
Kejing Biology - Leading the integration of AI and biotechnology in a new era
Exploring Digital Biology
Contact us
Business consulting
Job search
Media cooperation
Marketing consulting
Business center