B i o A I − L a b

  • Hainan University, Haikou, Hainan Province, China

WELCOME TO BioAI−Lab

The Main Work Of Our Lab Is To Develop Artificial Intelligence Algorithms.And Their Applications In Bioinformatics

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WELCOME TO BioAI−Lab

The Main Work Of Our Lab Is To Develop Artificial Intelligence Algorithms.And Their Applications In Bioinformatics

Learn More

WELCOME TO BioAI−Lab

The Main Work Of Our Lab Is To Develop Artificial Intelligence Algorithms.And Their Applications In Bioinformatics

Learn More
lab Activities
Lab Life 1
Lab Life 2
Lab Life 2
Lab Life 2
Our Research

Peptide Drug Discovery

Our lab aims to developing an automated computational pipeline for peptide drug design and discovery, which involves bioactive peptide generation, prediction, and functional analysis (such as peptide toxicity).

Epigenomic Data Analysis

Our lab focuses on developing computational methods to accurately annotate epigenetic modifications in whole-genome scale, and study their functions in gene regulatory network.

Developing Machine Learning Algorithms

Our lab also focuses on the development of generic machine learning algorithms and applied them for analyzing biological sequence data and imaging data. We particularly interest in designing new representation learning architectures to automatically learn and extract the functional patterns underlying different data.

Developing Deep Learning Algorithms

Our lab also focuses on the development of generic machine learning algorithms and applied them for analyzing biological sequence data and imaging data. We particularly interest in designing new representation learning architectures to automatically learn and extract the functional patterns underlying different data.

Main Publications
Advanced Science

CPL‐Diff: A Diffusion Model for De Novo Design
of Functional Peptide Sequences with Fixed Length.

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Research

Machine learning enables comprehensive prediction of the relative protein abundance of multiple proteins on the protein corona.

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News

Ⅰ.Our work "GCNLA: Inferring Cell-Cell Interactions From Spatial Transcriptomics With Long Short-Term Memory and Graph Convolutional Networks." has been accepted for publication on IEEE Journal of Biomedical and Health Informatics .


Ⅱ.Our work "A comprehensive review of computational methods for predicting DNA N4-methylcytosine sites. " has been accepted for publication on International Journal of Biological Macromolecules .


Ⅲ.Our work "NeuroCL: A Deep Learning Approach for Identifying Neuropeptides Based on Contrastive Learning. " has been accepted for publication on Analytical Biochemistry .


Ⅳ.Our work "PLM-IL4: Enhancing IL-4-inducing peptide prediction with protein language model. " has been accepted for publication on Computational Biology and Chemistry.


Ⅴ.Our work "DeepMaT: Prediction of Target Peptide Classification and Cleavage Site by Combining Mamba2 and Multiple Attention Mechanisms. " has been accepted for publication on Journal of Chemical Information and Modeling .


Ⅵ.Our work "CNNCaps-DBP: Leveraging protein language models with attention-augmented convolution for DNA-binding protein prediction. " has been accepted for publication on Neural Networks .


Ⅶ.Our work "Progress and applications of single-cell RNA sequencing and spatial transcriptome technology in acute kidney injury research. " has been accepted for publication on Molecular Therapy Nucleic Acids .


Ⅷ.Our work " ACP-EPC: an interpretable deep learning framework for anticancer peptide prediction utilizing pre-trained protein language model and multi-view feature extracting strategy. " has been accepted for publication on Molecular Diversity .


Ⅸ.Our work "m5U-HybridNet: Integrating an RNA Foundation Model with CNN Features for Accurate Prediction of 5-Methyluridine Modification Sites. " has been accepted for publication on Journal of Chemical Information and Modeling .

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Team
Tutor Team

Feifei Cui

Basic Introduction

Cui Feifei, Ph.D., associate professor of Hainan University, doctoral/master tutor. In 2012, she received a master's degree in computer science from Shandong University. From 2017 to 2020, she received a doctoral scholarship from the Ministry of Education, Culture, Sports, Science and Technology of Japan to study for a doctorate at the University of Tokyo (MEXT public study abroad), majoring in bioinformatics. The main research field is bioinformatics, and the research contents include but not limited to machine learning (deep learning), biological sequence classification, disease-related prediction of multi-omics data integration, etc. Presided over 1 regional project of the National Natural Science Foundation of China, 1 youth project of the National Natural Science Foundation of China, 1 youth project of the Natural Science Foundation of Sichuan Province, 1 general project of the China Postdoctoral Science Foundation and 1 introduction project of the Postdoctoral International Exchange Program ( has been completed). As the first author or corresponding author, she has published many papers in high-level bioinformatics SCI journals such as Briefings in Bioinformatics, Computational and Structural Biotechnology Journal.

Feifei Cui

Master/Doctoral Tutor

Zilong Zhang

Basic Introduction

Zhang Zilong, Ph.D., is an associate professor at the School of Computer Science and Technology, Hainan University, a doctoral/master tutor, a member of the Computational Biology and Bioinformatics (NCCBB) Professional Committee of the Chinese Bioengineering Society, and a letter evaluation expert of the National Natural Science Foundation of China (NSFC). Presided over a regional project of the National Natural Science Foundation of China, a youth project of the National Natural Science Foundation of China, a postdoctoral international exchange and introduction project (completed), and co-hosted a general project of the National Natural Science Foundation of China. Published many papers in top bioinformatics journals such as Bioinformatics and Briefings in Bioinformatics as the first author or corresponding author. Currently serving as a guest editor for Frontiers in Genetics, reviewer for PLoS Computational Biology, Briefings in Bioinformatics, Computers in Biology and Medicine, Frontiers of Computer Science, Briefings in Functional Genomics, Frontiers in Genetics, Frontiers in Molecular Biosciences, etc. .

Zilong Zhang

Master/Doctoral Tutor