Lucy J. Colwell, Ph.D.
Affiliations: | 2010 | Harvard University, Cambridge, MA, United States |
Area:
Fluid MechanicsGoogle:
"Lucy Colwell"Mean distance: 13.83 | S | N | B | C | P |
Parents
Sign in to add mentor| Michael P. Brenner | grad student | 2010 | Harvard | |
| (A statistical mechanics approach to topics in cell biology.) | ||||
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Publications
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| Kimchi O, Brenner MP, Colwell LJ. (2023) Nucleic Acid Structure Prediction Including Pseudoknots Through Direct Enumeration of States: A User's Guide to the LandscapeFold Algorithm. Methods in Molecular Biology (Clifton, N.J.). 2586: 49-77 |
| Cervettini D, Tang S, Fried SD, et al. (2020) Rapid discovery and evolution of orthogonal aminoacyl-tRNA synthetase-tRNA pairs. Nature Biotechnology |
| Carter B, Bileschi M, Smith J, et al. (2019) Critiquing Protein Family Classification Models Using Sufficient Input Subsets. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology |
| Falk MJ, Duwel A, Colwell LJ, et al. (2019) Collagen-Inspired Self-Assembly of Twisted Filaments. Physical Review Letters. 123: 238102 |
| Sundar V, Colwell L. (2019) The Effect of Debiasing Protein-Ligand Binding Data on Generalization. Journal of Chemical Information and Modeling. 60: 56-62 |
| Kimchi O, Cragnolini T, Brenner MP, et al. (2019) A Polymer Physics Framework for the Entropy of Arbitrary Pseudoknots. Biophysical Journal. 117: 520-532 |
| McCloskey K, Taly A, Monti F, et al. (2019) Using attribution to decode binding mechanism in neural network models for chemistry. Proceedings of the National Academy of Sciences of the United States of America |
| Kimchi O, Cragnolini T, Garmann R, et al. (2019) RNA Structure and Kinetics Including Pseudoknots through Complete Landscape Enumeration Biophysical Journal. 116: 353a-354a |
| Chow WY, Forman CJ, Bihan D, et al. (2018) Proline provides site-specific flexibility for in vivo collagen. Scientific Reports. 8: 13809 |
| Mitchell LS, Colwell LJ. (2018) Analysis of nanobody paratopes reveals greater diversity than classical antibodies. Protein Engineering, Design & Selection : Peds |