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Showing papers by "David E. Shaw published in 2023"


Journal ArticleDOI
TL;DR: In this article , the authors report unguided molecular dynamics simulations of Abl kinase binding to the cancer drug imatinib, and reveal a surprising local structural instability in the C-terminal lobe during binding.
Abstract: Abstract Proteins often undergo large conformational changes when binding small molecules, but atomic-level descriptions of such events have been elusive. Here, we report unguided molecular dynamics simulations of Abl kinase binding to the cancer drug imatinib. In the simulations, imatinib first selectively engages Abl kinase in its autoinhibitory conformation. Consistent with inferences drawn from previous experimental studies, imatinib then induces a large conformational change of the protein to reach a bound complex that closely resembles published crystal structures. Moreover, the simulations reveal a surprising local structural instability in the C-terminal lobe of Abl kinase during binding. The unstable region includes a number of residues that, when mutated, confer imatinib resistance by an unknown mechanism. Based on the simulations, NMR spectra, hydrogen-deuterium exchange measurements, and thermostability measurements and estimates, we suggest that these mutations confer imatinib resistance by exacerbating structural instability in the C-terminal lobe, rendering the imatinib-bound state energetically unfavorable.

4 citations


Journal ArticleDOI
TL;DR: In this article , the results of long-timescale molecular dynamics simulations are used to prospectively discover binding poses for two series of fragments in allosteric pockets on a difficult and important pharmaceutical target, protein tyrosine phosphatase 1b (PTP1b).
Abstract: Fragment-based drug discovery has led to six approved drugs, but the small sizes of the chemical fragments used in such methods typically result in only weak interactions between the fragment and its target molecule, which makes it challenging to experimentally determine the three-dimensional poses fragments assume in the bound state. One computational approach that could help address this difficulty is long-timescale molecular dynamics (MD) simulations, which have been used in retrospective studies to recover experimentally known binding poses of fragments. Here, we present the results of long-timescale MD simulations that we used to prospectively discover binding poses for two series of fragments in allosteric pockets on a difficult and important pharmaceutical target, protein tyrosine phosphatase 1b (PTP1b). Our simulations reversibly sampled the fragment association and dissociation process. One of the binding pockets found in the simulations has not to our knowledge been previously observed with a bound fragment, and the other pocket adopted a very rare conformation. We subsequently obtained high-resolution crystal structures of members of each fragment series bound to PTP1b, and the experimentally observed poses confirmed the simulation results. To the best of our knowledge, our findings provide the first demonstration that MD simulations can be used prospectively to determine fragment binding poses to previously unidentified pockets.

3 citations


Posted ContentDOI
22 Feb 2023-bioRxiv
TL;DR: In this paper , the results of long-timescale molecular dynamics simulations are used to prospectively discover binding poses for two series of fragments in allosteric pockets on a difficult and important pharmaceutical target, protein-tyrosine phosphatase 1b (PTP1b).
Abstract: Fragment-based drug discovery has led to six approved drugs, but the small size of the chemical fragments used in such methods typically results in only weak interactions between the fragment and its target molecule, which makes it challenging to experimentally determine the three-dimensional poses fragments assume in the bound state. One computational approach that could help address this difficulty is long-timescale molecular dynamics (MD) simulation, which has been used in retrospective studies to recover experimentally known binding poses of fragments. Here, we present the results of long-timescale MD simulations that we used to prospectively discover binding poses for two series of fragments in allosteric pockets on a difficult and important pharmaceutical target, protein-tyrosine phosphatase 1b (PTP1b). Our simulations reversibly sampled the fragment association and dissociation process. One of the binding pockets found in the simulations has not to our knowledge been previously observed with a bound fragment, and the other pocket adopted a very rare conformation. We subsequently obtained high-resolution crystal structures of members of each fragment series bound to PTP1b, and the experimentally observed poses confirmed the simulation results. To the best of our knowledge, our findings provide the first demonstration that MD simulations can be used prospectively to determine fragment binding poses to previously unidentified pockets.

2 citations


Journal ArticleDOI
TL;DR: RLY 4008 as discussed by the authors is a highly selective, irreversible FGFR2 inhibitor designed to overcome the limitation of incomplete target coverage due to FGFR1-and FGFR4-mediated toxicities (hyperphosphatemia and diarrhea).
Abstract: Oncogenic activation of fibroblast growth factor receptor 2 (FGFR2) drives multiple cancers and represents a broad therapeutic opportunity, yet selective targeting of FGFR2 has not been achieved. While the clinical efficacy of pan-FGFR inhibitors (pan-FGFRi) validates FGFR2 driver status in FGFR2 fusion-positive intrahepatic cholangiocarcinoma, their benefit is limited by incomplete target coverage due to FGFR1- and FGFR4-mediated toxicities (hyperphosphatemia and diarrhea) and the emergence of FGFR2 resistance mutations. RLY 4008 is a highly selective, irreversible FGFR2 inhibitor designed to overcome these limitations. In vitro, RLY-4008 demonstrates >250- and >5000-fold selectivity over FGFR1 and FGFR4, respectively, and targets primary alterations and resistance mutations. In vivo, RLY-4008 induces regression in multiple xenograft models - including models with FGFR2 resistance mutations that drive clinical progression on current pan-FGFRi - while sparing FGFR1 and FGFR4. In early clinical testing, RLY-4008 induced responses without clinically significant off-isoform FGFR toxicities, confirming the broad therapeutic potential of selective FGFR2 targeting.

1 citations


Journal ArticleDOI
TL;DR: In this paper , the authors present an atomically detailed model of WPD loop transitions in protein tyrosine phosphatase 1B (PTP1B) based on unbiased, long-timescale molecular dynamics simulations and weighted ensemble simulations.
Abstract: Protein tyrosine phosphatase 1B (PTP1B) is a negative regulator of the insulin and leptin signaling pathways, making it a highly attractive target for the treatment of type II diabetes. For PTP1B to perform its enzymatic function, a loop referred to as the “WPD loop” must transition between open (catalytically incompetent) and closed (catalytically competent) conformations, which have both been resolved by X-ray crystallography. Although prior studies have established this transition as the rate-limiting step for catalysis, the transition mechanism for PTP1B and other PTPs has been unclear. Here we present an atomically detailed model of WPD loop transitions in PTP1B based on unbiased, long-timescale molecular dynamics simulations and weighted ensemble simulations. We found that a specific WPD loop region─the PDFG motif─acted as the key conformational switch, with structural changes to the motif being necessary and sufficient for transitions between long-lived open and closed states of the loop. Simulations starting from the closed state repeatedly visited open states of the loop that quickly closed again unless the infrequent conformational switching of the motif stabilized the open state. The functional importance of the PDFG motif is supported by the fact that it is well conserved across PTPs. Bioinformatic analysis shows that the PDFG motif is also conserved, and adopts two distinct conformations, in deiminases, and the related DFG motif is known to function as a conformational switch in many kinases, suggesting that PDFG-like motifs may control transitions between structurally distinct, long-lived conformational states in multiple protein families.

Journal ArticleDOI
01 Jan 2023-in Vivo
TL;DR: Based on the clinical evidence of L-carnitine and derivatives as metabolic and muscle bioenergetic enhancers, the authors proposed broader research and implementation of this nutraceutical agent as an effective, inexpensive, and safe adjuvant therapeutic for the long-term management of COPD patients.
Abstract: Chronic obstructive pulmonary disease (COPD) is a major medical problem and the world’s third leading cause of death. COPD is a chronic disease with heterogeneous clinical symptoms, disease progression, and treatment responses. Besides pulmonary symptomatology, the common systemic clinical manifestations are cachexia, muscle weakness, and widespread comorbidities such as cardiovascular diseases, diabetes, osteoporosis, and infections. The adverse effects of pharmaceutical therapies contribute to the difficulty of health risk assessment and management of COPD patients. This review shows how skeletal muscle dysfunction and metabolic abnormalities contribute significantly to COPD patients’ symptoms, functional activities, quality of life, and overall disease outcomes. Based on the clinical evidence of L-carnitine and derivatives as metabolic and muscle bioenergetic enhancers, we propose broader research and implementation of this nutraceutical agent as an effective, inexpensive, and safe adjuvant therapeutic for the long-term management of COPD patients. Moreover, we believe the management of COPD as a chronic disease should be shifted from symptomatic reactive pharmaceutical intervention to more constructive and non-toxic approaches using a single or combination of natural and nutritional agents with potential muscle metabolic enhancing and immunomodulating activities to achieve a better overall outcome for the patients in terms of morbidity, mortality, and medical cost-reduction.

Journal ArticleDOI
TL;DR: In this paper , the main research question is: why healthcare workers choose to work in prisons? Furthermore, the authors identify training needs in various fields. And they point out the need for more specific training programs for healthcare workers in prison and provide suggestions to ameliorate the recruitment and education for future prison health care workers.
Abstract: Health care in prison is a challenging task. The conditions of imprisonment create distinct difficulties for those providing health care in this setting. These particular circumstances have led to a shortage of quality professionals, working for the health of imprisoned people. The aim of this study is to elaborate reasons for healthcare professionals to work in a prison environment. The main research question is: why do healthcare workers choose to work in prisons? Furthermore, our study identifies training needs in various fields. Interview data that comes from a national project carried out in Switzerland and three other relatively wealthy countries were analyzed using content analysis. One-on-one, semi structured interviews were designed and conducted with professionals working in prison context. A total of 105 interviews were carried out and for this work 83 of them were analyzed and coded into themes responding to the study aim. Most participants chose to work in prison either because of practical reasons, as many reported various forms of contact with the studied prison environment at a younger age, or because of intrinsic reasons, including among others, having the wish to change the system of healthcare in prisons. Even though the education of the participants varied greatly, a lack of specialist training was expressed by many health care professions as an important factor. This study points out the need for more specific training programs for healthcare workers in prison and provides suggestions to ameliorate the recruitment and education for future prison health care workers.

Journal ArticleDOI
TL;DR: In this article , the authors reported long-timescale molecular dynamics simulations of dimerized AMPAR ligand-binding domains (LBDs), whose conformational changes are tightly coupled to changes in AMPAR functional states, in which they observed LBD dimer activation and deactivation upon ligand binding and unbinding at atomic resolution.