Author

Nicholas E. Newell

ORCID 0000-0001-8920-7750Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:protein structure· 3 Approach:statistical model· 3 Research Focus:protein structure prediction· 2 Research Focus:protein design· 1

Activity by Year

2024-2025 · peak 2/yr

3 papers

Recent·Most cited

BioinformaticsProtein SciencePeer-reviewedFeb 19, 2025

ExploreTurns: A web tool for the exploration, analysis, and classification of beta turns and structured loops in proteins; application to beta-bulge and Schellman loops, Asx helix caps, beta hairpins and other hydrogen-bonded motifs

Nicholas E. Newell

ExploreTurns is a web tool that analyzes and classifies beta turns and hydrogen-bonded protein motifs using a new coordinate system and geometric descriptors.

5 citations

protein structurestatistical model

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedDec 13, 2024

MapTurns: mapping the structure, H-bonding and contexts of beta turns in proteins

Nicholas E. Newell

The paper introduces MapTurns, a web server that maps beta turn structures and side chain interactions using sequence motifs and provides tools for mutational analysis and protein design.

5 citations

protein structurestatistical model

𝕏 PostBluesky

Molecular BiologyProtein SciencePeer-reviewedAug 24, 2024

A geometric parameterization for beta turns

Nicholas E. Newell

This paper introduces a geometric parameterization for beta turns to improve their visualization, comparison, and design by providing a local coordinate system and structural alignment.

3 citations

protein structurestatistical model

𝕏 PostBluesky