Boshen Wang
University of Illinois at Chicago
16 Papers
6 Citations
Boshen Wang is an academic researcher from University of Illinois at Chicago. The author has contributed to research in topics: Biology & Medicine. The author has an hindex of 3, co-authored 7 publications.
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Papers
CHROMATIX: computing the functional landscape of many-body chromatin interactions in transcriptionally active loci from deconvolved single cells
Alan Perez-Rathke,Qiu Sun,Boshen Wang,Valentina Boeva,Valentina Boeva,Zhifeng Shao,Jie Liang +6 more
TL;DR: A computational model is described, CHROMATIX, which reconstructs ensembles of single-cell chromatin structures by deconvolving Hi-C data and identifies significant many-body interactions and shows DNase accessibility, POLR2A binding, and decreased H3K27me3 are predictive of interaction-enriched regions.
CASTpFold: Computed Atlas of Surface Topography of the universe of protein Folds.
Bowei Ye,Wei Tian,Boshen Wang,Jie Liang +3 more
TL;DR: CASTpFold is a web server that provides accurate and comprehensive identifications and quantifications of protein topography based on the latest AI-based protein structure prediction.
17
SeqMapPDB: A Standalone Pipeline to Identify Representative Structures of Protein Sequences and Mapping Residue Indices in Real-Time at Proteome Scale
Boshen Wang,Xue Lei,Wei Tian,Alan Perez-Rathke,Yan Yuan Tseng,Jie Liang University of Illinois at Chicago,Center for Bioinformatics,Quantitative Biology,Wayne State University,Molecular Medicine,Genetics,of Biochemistry,Microbiology,Immunology +13 more
- 23 Feb 2022
TL;DR: A computational pipeline called SeqMapPDB is developed to provide high-quality representative PDB structures of given sequences and provides mapping to structures that fully cover the sequences when available, or to the set of partial non-overlapping structural domains that maximally cover the query sequence.
3
Predicting Pathology of Missense Mutations through Protein-Specific Evolutionary Pattern
Bowei Ye,Boshen Wang,Jie Liang +2 more
- 01 Jul 2023
TL;DR: The results show that the estimated protein-specific evolutionary pattern-based scoring matrices (PSM) lead to higher sensitivity in detecting the pathological effects of missense mutations, compared to the general evolutionary pattern -based scoring matrix of Blosum62 (BL62) matrix.
3
CHROMATIX: computing the functional landscape of many-body chromatin interactions in transcriptionally active loci
TL;DR: Chromatix as mentioned in this paper reconstructs ensembles of single-cell chromatin structures by deconvolving Hi-C data and identifies significant many-body interactions, including DNase accessibility, POLR2A-binding, and decreased H3K27me3.