seabet bettinger：Professor Huang Shengyou of Huazhong University of seabet betting and Technology
Title: seabet betting prediction: from molecular docking toAIIntegrated seabet betting
seabet betting: seabet betting 26 (Tuesday) 10 am
Location：Computer seabet betting313seabet betting Room
seabet betting 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。
seabet betting 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, seabet betting5Corresponding author in seabet bettingNature Bioseabet betting、Nature Machine seabet betting、seabet betting CommunicationsPublish seabet betting in other magazines40Remaining articles, seabet bettingHDOCKProtein 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://seabet bettinglab.phys.hust.edu.cn/。
seabet bettinger: 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
seabet betting：11month26Sunday (seabet betting) morning10Points
Location：Computer seabet betting313seabet betting Room
seabet betting 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.
seabet betting the speaker:
Zhu Shanfeng，Researcher at Fudan University Institute of Brain-inspired Intelligence seabet betting and Technology，Doctoral Supervisor。UniProtMember of the seabet betting Scientific Advisory Board, PLoS seabet betting BiologyEditor, Oxford seabet betting Pressseabet betting AdvancesDeputy 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 asNeurIPS, KDD, ISMB, IJCAI, ACL, seabet betting Communications、Genome Biology, Bioinformatics, Nucleic Acids seabet bettingseabet betting.2014seabet betting-2022 seabet bettingBioASQWon seabet betting place eight times in an international competition for automatic annotation of large-scale biomedical texts。2017、2020and2023 Participate in each seabet bettingCAFA3、CAFA4andseabet bettingWon first place in the international competition for automatic annotation of large-scale seabet betting functions。2019seabet betting-2021seabet bettingCAMI IIInternational competition for large-scale metagenomic data analysis ranked seabet betting overall in contig binning algorithm。
