Bend and Snap: Computationally Exploring the Helix Bias for Classifying Abl Kinase Allosteric Modulators.
- DOI
- 10.1021/acs.jcim.6c01990
- Published
- 2026 Aug 24
- Container
- Journal of chemical information and modeling
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jcim.6c01990,
title = {Bend and Snap: Computationally Exploring the Helix Bias for Classifying Abl Kinase Allosteric Modulators.},
author = {Leite PTTF and Fernandes PO and Martins DM and Almeida RL and Pöhner I and Moraes AH and Kronenberger T and Maltarollo VG},
year = {2026},
journal = {Journal of chemical information and modeling},
doi = {10.1021/acs.jcim.6c01990},
url = {https://doi.org/10.1021/acs.jcim.6c01990}
}RIS
TY - JOUR TI - Bend and Snap: Computationally Exploring the Helix Bias for Classifying Abl Kinase Allosteric Modulators. AU - Leite PTTF AU - Fernandes PO AU - Martins DM AU - Almeida RL AU - Pöhner I AU - Moraes AH AU - Kronenberger T AU - Maltarollo VG PY - 2026 JO - Journal of chemical information and modeling DO - 10.1021/acs.jcim.6c01990 UR - https://doi.org/10.1021/acs.jcim.6c01990 ER -
APA
PTTF, L., PO, F., DM, M., RL, A., I, P., AH, M., T, K., & VG, M. (2026). Bend and Snap: Computationally Exploring the Helix Bias for Classifying Abl Kinase Allosteric Modulators.. Journal of chemical information and modeling. https://doi.org/10.1021/acs.jcim.6c01990
Source records
- pubmed · retrieved 2026-09-25T18:22:32.962Z
- europe-pmc · retrieved 2026-09-25T18:22:32.917Z