Research output per year
Research output per year
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Dive into the research topics where Chris Wood is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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DE-STRESS: A user-friendly web application for the evaluation of protein designs
Stam, M. J. & Wood, C. W., 15 Dec 2021, In: Protein Engineering, Design and Selection. 34, 6 p., gzab029.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
De novo designed peptide and protein hairpins self‐assemble into sheets and nanoparticles
Galloway, J. M., Bray, H. E. V., Shoemark, D. K., Hodgson, L. R., Coombs, J., Mantell, J. M., Rose, R. S., Ross, J. F., Morris, C., Harniman, R. L., Wood, C. W., Arthur, C., Verkade, P. & Woolfson, D. N., 15 Feb 2021, (E-pub ahead of print) In: Small. 11 p., 2100472.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
BAlaS: Fast, interactive and accessible computational alanine-scanning using BudeAlaScan
Wood, C. W., Ibarra, A. A., Bartlett, G. J., Wilson, A. J., Woolfson, D. N., Sessions, R. B. & Valencia, A., 1 May 2020, In: Bioinformatics. 36, 9, p. 2917-2919 btaa026.Research output: Contribution to journal › Article › peer-review
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Peptide assembly directed and quantified using megadalton DNA nanostructures
Jin, J., Baker, E. G., Wood, C. W., Bath, J., Woolfson, D. N. & Turberfield, A. J., 24 Sep 2019, In: ACS Nano. 13, 9, p. 9927-9935 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Navigating the structural landscape of de Novo α-helical bundles
Rhys, G. G., Wood, C. W., Beesley, J. L., Zaccai, N. R., Burton, A. J., Brady, R. L., Thomson, A. R. & Woolfson, D. N., 5 Jun 2019, In: Journal of the American Chemical Society. 141, 22, p. 8787-8797 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile
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21ENGBIO - High-Throughput Design of Novel Sensors to Help Address the Impending Phosphate Crisis
Wood, C., Doerner, P. & Richardson, A.
31/01/22 → 30/01/23
Project: Research
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Development of Genetically-Encodable Nitrate Sensors for Visualizing Nitrogen Flux in Plants
14/12/21 → 13/12/22
Project: Research
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Development and experimental validation of a deep-learning based pipeline for user-centric protein design.
3/12/18 → 2/03/22
Project: Research