Nurit Haspel
Affiliations: | Computer Science | University of Massachusetts, Boston, Boston, MA |
Area:
Computer Science, Bioinformatics Biology, Molecular BiologyGoogle:
"Nurit Haspel"Parents
Sign in to add mentor| Ruth Nussinov | grad student | 2002-2006 | Tel Aviv University (Chemistry Tree) |
Children
Sign in to add trainee| Ayse B. Delibas | grad student | 2014 | U Mass Boston |
| Roshanak Farhoudi | grad student | 2013-2017 | U Mass Boston |
| Amir Vajdi | grad student | 2015-2017 | U Mass Boston |
| Arpita Joshi | grad student | 2015-2019 | U Mass Boston |
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Publications
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| Afrasiabi F, Dehghanpoor R, Haspel N. (2021) Integrating Rigidity Analysis into the Exploration of Protein Conformational Pathways Using RRT* and MC. Molecules (Basel, Switzerland). 26 |
| Campbell KL, Haspel N, Gath C, et al. (2021) Protein Hormone Fragmentation in Intercellular Signaling: Hormones as Nested Information Systems†. Biology of Reproduction |
| Haspel N, Jang H, Nussinov R. (2020) Active and Inactive Cdc42 Differ in Their Insert Region Conformational Dynamics. Biophysical Journal |
| Vajdi A, Zarringhalam K, Haspel N. (2019) Patch-DCA: Improved Protein Interface Prediction by utilizing Structural Information and Clustering DCA scores. Bioinformatics (Oxford, England) |
| Joshi A, Haspel N. (2019) Clustering of Protein Conformations Using Parallelized Dimensionality Reduction Journal of Advances in Information Technology. 10: 142-147 |
| Dehghanpoor R, Ricks E, Hursh K, et al. (2018) Predicting the Effect of Single and Multiple Mutations on Protein Structural Stability. Molecules (Basel, Switzerland). 23 |
| Haspel N, Luo D, González E. (2017) Detecting intermediate protein conformations using algebraic topology. Bmc Bioinformatics. 18: 502 |
| Haspel N, Zheng J, Aleman C, et al. (2017) A Protocol for the Design of Protein and Peptide Nanostructure Self-Assemblies Exploiting Synthetic Amino Acids. Methods in Molecular Biology (Clifton, N.J.). 1529: 323-352 |
| Haspel N, Jagodzinski F. (2017) Methods for Detecting Critical Residues in Proteins. Methods in Molecular Biology (Clifton, N.J.). 1498: 227-242 |
| Farhoodi R, Akbal-Delibas B, Haspel N. (2016) Machine Learning Approaches for Predicting Protein Complex Similarity. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology |