Author

Shane T. Rich-New

University of Alabama at BirminghamORCID 0000-0002-2380-0778Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Approach:deep learning· 2 Assay:protein structure· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:development & morphogenesis· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1

Frequent Co-Authors

Fengbin WangiD· 3 shared Holly A. PeterseniD· 2 shared Jessie Lynda FieldsiD· 2 shared Allon I. HochbaumiD· 1 shared Ayisha ZiaiD· 1 shared Chi Ho ChaniD· 1 shared Chunyang LuiD· 1 shared Daniel R. BondiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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Curved chords = mutual co-authorship

3 shared papersMicrobiology

Fengbin WangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A Bundled Antiparallel Cytochrome Nanowire Structure Suggests Roles in Cell-Cell Electron Transfer and Biofilm Formation

Holly A. Petersen, Chi Ho Chan, Gilbert O. Carpenter, Media Zakizadeh Tabari, Jessie Lynda Fields, Ayisha Zia, Shane T. Rich-New, Allon I. Hochbaum, Daniel R. Bond, Fengbin Wang

This study determines the atomic structure of cytochrome nanowires from Desulfuromonas soudanensis and shows they form antiparallel bundles, suggesting roles in electron transfer and biofilm formation across electroactive microbes.

mBio · Aug 26, 2026Peer-reviewedMicrobiology

Structural diversity and clustering of bacterial flagellar outer domains

Jessie Lynda Fields, Hua Zhang, Nathan F. Bellis, Holly A. Petersen, Sajal Kumar Halder, Shane T. Rich-New, Mart Krupovìč, Hui Wu, Fengbin Wang

The paper analyzes flagellar outer domains in bacterial species, revealing structural diversity and identifying new clusters of flagellin structures.

Nature Communications · Nov 3, 2024Peer-reviewedMicrobiology

Protein-Ligand Binding Site Prediction and De Novo Ligand Generation from Cryo-EM Maps

Chunyang Lu, Kaustav Mitra, Kiran Mitra, Hanze Meng, Shane T. Rich-New, Fengbin Wang, Dong Si

The paper develops a system for predicting protein-ligand binding sites from Cryo-EM maps and generates drug-like ligands using a combination of PLBP methods and a de novo structure modeling tool.

bioRxiv · Nov 16, 2023 · PreprintBioinformatics