Jane S. Richardson
Affiliations: | Biochemistry | Duke University, Durham, NC |
Area:
3D structures of proteinsWebsite:
http://www.biochem.duke.edu/modules/biochem_richard_lab/index.php?id=1Google:
"Jane S. Richardson"Bio:
http://www.nasonline.org/member-directory/members/59507.html
http://kinemage.biochem.duke.edu/
http://en.wikipedia.org/wiki/Jane_S._Richardson
Mean distance: 9.29
Children
Sign in to add trainee| John Tainer | grad student | ||
| Elizabeth D. Getzoff | grad student | 1982 | Duke |
| Jeffrey J. Headd | grad student | 2009 | Duke |
| Michael H. Hecht | post-doc | 1990 | Duke University Medical School |
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Publications
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| Kleywegt GJ, Adams PD, Butcher SJ, et al. (2024) Community recommendations on cryoEM data archiving and validation. Iucrj |
| Kleywegt GJ, Adams PD, Butcher SJ, et al. (2023) Community recommendations on cryoEM data archiving and validation. Arxiv |
| Terwilliger TC, Liebschner D, Croll TI, et al. (2023) AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determination. Nature Methods |
| Richardson JS, Williams CJ, Chen VB, et al. (2023) The bad and the good of trends in model building and refinement for sparse-data regions: pernicious forms of overfitting versus good new tools and predictions. Acta Crystallographica. Section D, Structural Biology |
| Terwilliger TC, Afonine PV, Liebschner D, et al. (2023) Accelerating crystal structure determination with iterative AlphaFold prediction. Acta Crystallographica. Section D, Structural Biology. 79: 234-244 |
| Terwilliger TC, Poon BK, Afonine PV, et al. (2022) Improved AlphaFold modeling with implicit experimental information. Nature Methods |
| Williams CJ, Richardson DC, Richardson JS. (2021) The importance of residue-level filtering and the Top2018 best-parts dataset of high-quality protein residues. Protein Science : a Publication of the Protein Society |
| Richardson JS, Richardson DC, Goodsell DS. (2021) Seeing the PDB. The Journal of Biological Chemistry. 100742 |
| Lawson CL, Kryshtafovych A, Adams PD, et al. (2021) Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge. Nature Methods |
| Croll TI, Williams CJ, Chen VB, et al. (2021) Improving SARS-CoV-2 Structures: Peer Review by Early Coordinate Release. Biophysical Journal |