Author
A. Schlessinger
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
Biology Disciplines
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2019-2024 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 15 mutual co-author links10 papers
Recent·Most cited
Structural Analysis of Genomic and Proteomic Signatures Reveal Dynamic Expression of Intrinsically Disordered Regions in Breast Cancer and Tissue
N. Zatorski, Y. Sun, A. Elmas, C. Dallago, T. Karl, D. Stein, B. Rost, K.-L. Huang, M. Walsh, A. Schlessinger
The paper introduces SAGES, a method using structural features to analyze proteomic and transcriptomic data, revealing dynamic expression of intrinsically disordered regions in breast cancer and drug perturbation relationships.
bioRxiv · Feb 23, 2023Pharmacology & Toxicology
Conserved allosteric inhibition mechanism in SLC1 transporters
Y. Dong, J. Wang, R.-A. Garibsingh, K. Hutchinson, Y. Shi, G. Eisenberg, X. Yu, A. Schlessinger, C. Grewer
This study investigates the conserved allosteric inhibition mechanism of SLC1 transporters EAAT1 and ASCT2 using cryo-EM, kinetic experiments, and computational modeling, showing that UCPH-101 inhibits EAAT1 and partially inhibits ASCT2 with lower affinity.
bioRxiv · Sep 21, 2022Biophysics
Describing Inhibitor Specificity for the Amino Acid Transporter LAT1 from Metainference Simulations
K. Hutchinson, D. B. Silva, J. Bohlke, C. Clausen, A. A. Thomas, M. Bonomi, A. Schlessinger
This study uses metainference MD simulations, molecular docking, and experiments to identify critical residues and druggable pockets in LAT1, leading to the discovery of new inhibitors.
bioRxiv · May 3, 2022Biophysics
Substrate Binding and Inhibition of the Anion Exchanger 1 Transporter
M. J. Capper, S. Yang, A. C. Stone, S. Vatansever, G. Zilberg, Y. K. Mathiharan, R. Habib, K. Hutchinson, A. Schlessinger, M. Mezei, R. Osman, B. Zhang, D. Wacker
The paper presents high-resolution cryo-EM structures of the full-length human AE1 transporter in various states, revealing substrate binding, inhibition mechanisms, and lipid/sterol binding sites.
bioRxiv · Feb 11, 2022Biochemistry
Dual targeting of salt inducible kinases and CSF1R uncouples bone formation and bone resorption
C.-C. Tang, C. Castro, M. J. O'Meara, S.-H. Yoon, D. J. Brooks, M. L. Bouxsein, J. d. S. Martins, J. Wang, N. S. Gray, B. Misof, P. Roschger, S. Boulin, K. Klaushofer, A. Velduis-Vlug, Y. Vegting, , M. N. Wein
The paper shows that YKL-05-099, which inhibits SIKs and CSF1R, increases bone formation without increasing bone resorption in mice.
bioRxiv · Feb 26, 2021Physiology
Crowdsourced identification of multi-target kinase inhibitors for RET- and TAU- based disease: the Multi-Targeting Drug DREAM Challenge
Z. Xiong, M. Jeon, R. J. Allaway, J. Kang, D. Park, J. Lee, H. Jeon, M. Ko, H. Jiang, M. Zheng, A. C. Tan, X. Guo, The Multi-Targeting Drug DREAM Challenge Community, K. K. Dang, A. Tropsha, , R. Cagan
The paper reports on a DREAM Challenge to predict multi-target kinase inhibitors for RET-based tumors and Tauopathy, using neural network-based machine learning approaches.
bioRxiv · Feb 15, 2021Pharmacology & Toxicology
Structural basis for stereospecific inhibition of ASCT2 from rational design
R.-A. A. Garibsingh, E. Ndaru, A. A. Garaeva, M. Bonomi, D. J. Slotboom, C. Paulino, C. Grewer, A. Schlessinger
The paper rationally designs inhibitors for ASCT2 using computational modeling and cryo-EM, showing how stereospecific pockets can be exploited for drug discovery.
bioRxiv · May 29, 2020Biochemistry
Crowdsourced mapping of unexplored target space of kinase inhibitors
A. Cichonska, B. Ravikumar, R. J. Allaway, S. Park, F. Wan, O. Isayev, S. Li, M. J. Mason, A. Lamb, Z.-u.-R. Tanoli, M. Jeon, S. Kim, M. Popova, S. Capuzzi, J. Zeng, , T. Aittokallio
The paper benchmarks predictive models for kinase inhibitor potencies using crowdsourced data and identifies new compound-kinase interactions.
bioRxiv · Dec 31, 2019Biochemistry
PyVOL: a PyMOL plugin for visualization, comparison, and volume calculation of drug-binding sites
R. H. B. Smith, A. C. Dar, A. Schlessinger
PyVOL provides a PyMOL plugin for visualizing, characterizing, and comparing drug-binding sites with automated volume calculations to reduce user variability and improve efficiency.
bioRxiv · Oct 24, 2019 · PreprintPharmacology & Toxicology