Author

Nicholas M Pearce

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

Biology Disciplines

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Biochemistry· 2

Signature Assays, Organisms & Methods

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Research Focus:protein structure prediction· 2 Approach:statistical model· 2 Approach:deep learning· 1 Assay:electronic health records· 1 Assay:structural biology· 1

Frequent Co-Authors

Anthony R Bradley· 1 shared Brian D Marsden· 1 shared Charlotte M DeaneiD· 1 shared Frank von Delft· 1 shared Frank von DelftiD· 1 shared Jiye ShiiD· 1 shared Patrick Collins· 1 shared Radoslaw P Nowak· 1 shared

Activity by Year

2016-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBiochemistry

Anthony R Bradley

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2 papers

Recent·Most cited

BiochemistrybioRxivSep 28, 2016

Proper modelling of ligand binding requires an ensemble of bound and unbound states

Nicholas M Pearce, Frank von Delft

The paper demonstrates that modelling ligand-bound and unbound states together improves ligand model quality in crystallography.

DOI 10.1107/s2059798317003412

structural biologystatistical model

𝕏 PostBluesky

BiochemistrybioRxivPreprintSep 5, 2016

A Multi-Crystal Method for Extracting Obscured Signal from Crystallographic Electron Density

Nicholas M Pearce, Anthony R Bradley, Patrick Collins…·Frank von Delft

The paper introduces a method to extract obscured signals from crystallographic electron density by deconvoluting superposed crystal states, even with poor starting models.

DOI 10.1101/073411

electronic health recordsdeep learning

𝕏 PostBluesky