Nicholas Pearce

DDLS Fellow, Linköping University

nicholas.pearce@liu.se

+46721644838

Keywords

Bioinformatics, Cryo-electron Microscopy, cryo-EM, Data analysis, DDLS, Drug Discovery, Machine learning, Macromolecular Crystallography, protein structure, Structural biology

Key publications

Pearce, N. M., & Gros, P. (2021).
A method for intuitively extracting macromolecular dynamics from structural disorder.
Nature Communications
https://doi.org/10.1038/s41467-021-25814-x

Ploscariu, N., Burnley, T., Gros, P., & Pearce, N. M. (2021).
Improving sampling of crystallographic disorder in ensemble refinement.
Acta Crystallographica Section D Structural Biology
https://doi.org/10.1107/S2059798321010044

Pearce, N. M., et al. (2017).
A multi-crystal method for extracting obscured crystallographic states from conventionally uninterpretable electron density.
Nature Communications
https://doi.org/10.1038/ncomms15123

Pearce, N. M., et al. (2017).
Partial-occupancy binders identified by the Pan-Dataset Density Analysis method offer new chemical opportunities and reveal cryptic binding sites.
Structural Dynamics
https://doi.org/10.1063/1.4974176

Pearce, N. M., Krojer, T., & von Delft, F. (2017).
Proper modelling of ligand binding requires an ensemble of bound and unbound states.
Acta Crystallographica Section D Structural Biology
https://doi.org/10.1107/S2059798317003412

Collins, P. M., et al. (2017).
Gentle, fast and effective crystal soaking by acoustic dispensing.
Acta Crystallographica Section D Structural Biology
https://doi.org/10.1107/S205979831700331X

SciLifeLab / Contact / Nicholas Pearce

Nicholas Pearce

Research Interests

In the Data-Driven Determination of Macromolecular Structures (D3MS) group, we develop new experimental and computational approaches to unravel the subtleties of protein structures and achieve unprecendented levels of detail in macromolecular models.

We use a variety of computational and experimental approaches, from mathematical models to machine learning, and from crystallography to cryoEM. We use these tools to design new ways of determining macromolecular structures that reveals more about how they function.

What connects all of our methods is the idea that decisions should be driven by the data.

We are part of the bioinformatics division at Linköping University. In addition to our SciLifeLab affiliation through the DDLS program, we are part of the Wallenberg Centre for Molecular Medicine (WCMM) at Linköping.

Contact

E-mail: nicholas.pearce@liu.se