Author

Hao Xiong

Yale UniversityPrimary ORCID profile (0009-0008-8468-1750 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Hao XiongiD1 paper · China Academy of Chinese Medical Sciences

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Long HaniD· 1 shared Pengxin ChaiiD· 1 shared Yue WangiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Long HanORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Evaluating the Reliability of AlphaFold 2 for Unknown Complex Structures with Deep Learning

Hao Xiong, Long Han, Yue Wang, Pengxin Chai

This paper introduces AlphaFold-Eva, a deep learning method to evaluate the reliability of AlphaFold 2 predictions for unknown complex structures using intrinsic structural features.

bioRxiv · Jul 8, 2022 · PreprintBioinformatics