Reporter：Professor Huang Shengyou of Huazhong University of seabet betting and Technology
Title: seabet betting prediction: from molecular docking toAIIntegrated modeling
Time: November 26 (Tuesday) 10 am
Location：Computer Building313Conference Room
Report Summary:
seabet betting is the executor of life activities.“seabet betting determines function”，Therefore，Determining protein interactions and their complex structures is crucial to understanding life activities and drug development。Due to its clear physical principles and extremely low computational cost，Molecular docking has always been the most important fast calculation method in seabet betting prediction，However，Due to limitations in molecular flexibility and energy scoring functions，The accuracy has reached the bottleneck。In recent years，Artificial intelligence model such asAlphaFold2Achieved great success in protein monomer structure prediction，But due to insufficient samples，The accuracy of seabet betting prediction still needs to be improved。Therefore，New methods are urgently needed to break through the bottleneck of existing seabet betting prediction。In recent years，Cryo-EM has developed into the most important experimental method for determining the structure of biological macromolecules，The information contained in its experimental data exactly meets the needs of seabet betting prediction。In this report，I will first introduce the seabet betting prediction method based on molecular docking，Then we will focus on reporting on our mining of complex structure information from cryo-electron microscopy experimental density maps based on artificial intelligence，And integrate the mined experimental information to conduct research on seabet betting modeling。
About the speaker:
Huang Shengyou，Professor of Huazhong University of seabet betting and Technology、Ph.D. Supervisor，National leading talents，Winner of 100 outstanding doctoral dissertations nationwide。Long-term research on protein interaction calculations and complex structure prediction，Total papers published120Remaining articles, recent5Corresponding author in yearNature Biotechnology、Nature Machine Intelligence、Nature CommunicationsPublish papers in other magazines40Remaining articles, developedHDOCKProtein molecular docking algorithm in international seabet betting predictionCAPRIRanked first in competitions many times。Host the key project of National Natural seabet betting Foundation of China、International cooperation projects, etc.。Current Chinese Biological Informatics Society(raise)"Biomolecule seabet betting and Simulation Professional Committee”Secretary-General.
seabet betting group website:http://huanglab.phys.hust.edu.cn/。
Reporter: Researcher Zhu Shanfeng of Fudan seabet betting
Title：GORetriever: reranking seabet betting-description-based GO candidates by literature-driven deep information retrieval for seabet betting function annotation
Time：11month26Sunday (Tuesday) morning10Points
Location：Computer Building313Conference Room
Report Summary:
The vast majority of proteins still lack experimentally validated functional annotations, which highlights the importance of developing high-performance automated seabet betting function prediction/annotation (AFP) methods. While existing approaches focus on seabet betting sequences, networks, and structural data, textual information related to proteins has been overlooked. However, roughly 82% of SwissProt proteins already possess literature information that experts have annotated. To efficiently and effectively use literature information, we present GORetriever, a two-stage deep information retrieval-based method for AFP. Given a target seabet betting, in the first stage, candidate Gene Ontology (GO) terms are retrieved by using annotated proteins with similar descriptions. In the second stage, the GO terms are reranked based on semantic matching between the GO definitions and textual information (literature and seabet betting description) of the target seabet betting. Extensive experiments over benchmark datasets demonstrate the remarkable effectiveness of GORetriever in enhancing the AFP performance. Note that GORetriever is the key component of GOCurator, which has achieved the first place in the latest critical assessment of seabet betting function annotation (CAFA5: over 1,600 teams participated), held in 2023–24.
About the speaker:
Zhu Shanfeng，Researcher at Fudan University Institute of Brain-inspired Intelligence seabet betting and Technology，Doctoral Supervisor。UniProt Member of the International Scientific Advisory Board, PLoS Computational BiologyEditor, Oxford seabet betting PressBioinformatics Advances Deputy Editor。Has hosted five National Natural seabet betting Foundation projects，And multiple domestic and foreign enterprise R&D projects。The main research direction is artificial intelligence and biomedical big data mining，Especially biomedical text mining、Protein function prediction、Metagenomic、Smart medical care, etc.。Relevant papers listed as first or corresponding author in biological information、Artificial Intelligence、Published in data mining and other related flagship international conferences and journals，such as NeurIPS, KDD, ISMB, IJCAI, ACL, Nature Communications、Genome Biology, Bioinformatics, Nucleic Acids seabet bettingetc.2014Year-2022 year BioASQ Won first place eight times in an international competition for automatic annotation of large-scale biomedical texts。2017、2020and2023 Participate in each year CAFA3、CAFA4andCAFA5 Won first place in the international competition for automatic annotation of large-scale seabet betting functions。2019Year-2021yearCAMI IIInternational competition for large-scale metagenomic data analysis ranked first overall in contig binning algorithm。
