1
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Wang L, Wang Y, Yu Y, Liu D, Zhao J, Zhang L. Deciphering Selectivity Mechanism of BRD9 and TAF1(2) toward Inhibitors Based on Multiple Short Molecular Dynamics Simulations and MM-GBSA Calculations. Molecules 2023; 28:molecules28062583. [PMID: 36985555 PMCID: PMC10052767 DOI: 10.3390/molecules28062583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/06/2023] [Accepted: 03/09/2023] [Indexed: 03/14/2023] Open
Abstract
BRD9 and TAF1(2) have been regarded as significant targets of drug design for clinically treating acute myeloid leukemia, malignancies, and inflammatory diseases. In this study, multiple short molecular dynamics simulations combined with the molecular mechanics generalized Born surface area method were employed to investigate the binding selectivity of three ligands, 67B, 67C, and 69G, to BRD9/TAF1(2) with IC50 values of 230/59 nM, 1400/46 nM, and 160/410 nM, respectively. The computed binding free energies from the MM-GBSA method displayed good correlations with that provided by the experimental data. The results indicate that the enthalpic contributions played a critical factor in the selectivity recognition of inhibitors toward BRD9 and TAF1(2), indicating that 67B and 67C could more favorably bind to TAF1(2) than BRD9, while 69G had better selectivity toward BRD9 over TAF1(2). In addition, the residue-based free energy decomposition approach was adopted to calculate the inhibitor–residue interaction spectrum, and the results determined the gatekeeper (Y106 in BRD9 and Y1589 in TAF1(2)) and lipophilic shelf (G43, F44, and F45 in BRD9 and W1526, P1527, and F1528 in TAF1(2)), which could be identified as hotspots for designing efficient selective inhibitors toward BRD9 and TAF1(2). This work is also expected to provide significant theoretical guidance and insightful molecular mechanisms for the rational designs of efficient selective inhibitors targeting BRD9 and TAF1(2).
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2
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Wang L, Lu D, Wang Y, Xu X, Zhong P, Yang Z. Binding selectivity-dependent molecular mechanism of inhibitors towards CDK2 and CDK6 investigated by multiple short molecular dynamics and free energy landscapes. J Enzyme Inhib Med Chem 2023; 38:84-99. [DOI: 10.1080/14756366.2022.2135511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Lifei Wang
- School of Science, Shandong Jiaotong University, Jinan, PR China
| | - Dan Lu
- Department of Physics, Jiangxi Agricultural University, Nanchang, PR China
| | - Yan Wang
- School of Science, Shandong Jiaotong University, Jinan, PR China
| | - Xiaoyan Xu
- School of Science, Shandong Jiaotong University, Jinan, PR China
| | - Peihua Zhong
- College of Computer Information and Engineering, Jiangxi Agriculture University, Nanchang, PR China
| | - Zhiyong Yang
- Department of Physics, Jiangxi Agricultural University, Nanchang, PR China
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3
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Differences in ligand-induced protein dynamics extracted from an unsupervised deep learning approach correlate with protein-ligand binding affinities. Commun Biol 2022; 5:481. [PMID: 35589949 PMCID: PMC9120437 DOI: 10.1038/s42003-022-03416-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 04/26/2022] [Indexed: 11/29/2022] Open
Abstract
Prediction of protein–ligand binding affinity is a major goal in drug discovery. Generally, free energy gap is calculated between two states (e.g., ligand binding and unbinding). The energy gap implicitly includes the effects of changes in protein dynamics induced by ligand binding. However, the relationship between protein dynamics and binding affinity remains unclear. Here, we propose a method that represents ligand-binding-induced protein behavioral change with a simple feature that can be used to predict protein–ligand affinity. From unbiased molecular simulation data, an unsupervised deep learning method measures the differences in protein dynamics at a ligand-binding site depending on the bound ligands. A dimension reduction method extracts a dynamic feature that strongly correlates to the binding affinities. Moreover, the residues that play important roles in protein–ligand interactions are specified based on their contribution to the differences. These results indicate the potential for binding dynamics-based drug discovery. Differences in ligand-induced protein dynamics extracted as a single feature from a deep learning-based analysis of MD simulations correlate with ligand binding affinity.
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4
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Wang L, Wang Y, Zhao J, Yu Y, Kang N, Yang Z. Theoretical exploration of the binding selectivity of inhibitors to BRD7 and BRD9 with multiple short molecular dynamics simulations. RSC Adv 2022; 12:16663-16676. [PMID: 35754900 PMCID: PMC9169554 DOI: 10.1039/d2ra02637f] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 05/29/2022] [Indexed: 12/18/2022] Open
Abstract
Bromodomain-containing proteins 7 and 9 (BRD7 and BRD9) have been considered as potential targets of clinical drug design toward treatment of human cancers and other diseases. Multiple short molecular dynamics simulations and binding free energy predictions were carried out to decipher the binding selectivity of three inhibitors 4L2, 5U6, and 6KT toward BRD7 and BRD9. The results show that 4L2 has more favorable binding ability to BRD7 over BRD9 compared to 5U6 and 6KT, while 5U6 and 6KT possess more favorable associations with BRD9 than BRD7. Furthermore, estimations of residue-based free energy decompositions further identify that four common residue pairs, including (F155, F44), (V160, V49), (Y168, Y57) and (Y217, Y106) in (BRD7, BRD9) generate obvious binding differences with 4L2, 5U6, and 6KT, which mostly drives the binding selectivity of 4L2, 5U6, and 6KT to BRD7 and BRD9. Dynamic information arising from trajectory analysis also suggests that inhibitor bindings affect structural flexibility and motion modes, which is responsible for the partial selectivity of 4L2, 5U6, and 6KT toward BRD7 and BRD9. As per our expectation, this study theoretically provides useful hints for design of dual inhibitors with high selectivity on BRD7 and BRD9. Bromodomains (BRDs) are structurally conserved epigenetic reader modules observed in numerous chromatin- and transcription-associated proteins that have a capability to identify acetylated lysine residues.![]()
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Affiliation(s)
- Lifei Wang
- School of Science, Shandong Jiaotong University, Jinan 250357, China
| | - Yan Wang
- School of Science, Shandong Jiaotong University, Jinan 250357, China
| | - Juan Zhao
- School of Science, Shandong Jiaotong University, Jinan 250357, China
| | - Yingxia Yu
- School of Science, Shandong Jiaotong University, Jinan 250357, China
| | - Nianqian Kang
- Department of Physics, Jiangxi Agricultural University, Nanchang 330045, China
| | - Zhiyong Yang
- Department of Physics, Jiangxi Agricultural University, Nanchang 330045, China
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5
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Wang L, Wang Y, Yang Z, Xu S, Li H. Binding Selectivity of Inhibitors toward Bromodomains BAZ2A and BAZ2B Uncovered by Multiple Short Molecular Dynamics Simulations and MM-GBSA Calculations. ACS OMEGA 2021; 6:12036-12049. [PMID: 34056358 PMCID: PMC8154142 DOI: 10.1021/acsomega.1c00687] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 04/19/2021] [Indexed: 06/12/2023]
Abstract
Two Bromodomain-Containing proteins BAZ2A and BAZ2B are responsible for remodeling chromatin and regulating noncoding RNAs. As for our current studies, integration of multiple short molecular dynamics simulations (MSMDSs) with molecular mechanics generalized Born surface area (MM-GBSA) method is adopted for insights into binding selectivity of three small molecules D8Q, D9T and UO1 to BAZ2A against BAZ2B. The calculations of MM-GBSA unveil that selectivity of inhibitors toward BAZ2A and BAZ2B highly depends on the enthalpy changes and the details uncover that D8Q has better selectivity toward BAZ2A than BAZ2B, D9T more favorably bind to BAZ2B than BAZ2A, and UO1 does not show obvious selectivity toward these two proteins. The analysis of interaction network between residues and inhibitors indicates that seven residues are mainly responsible for the selectivity of D8Q, six residues for D9T and four residues provide significant contributions to associations of UO1 with two proteins. Moreover the analysis of interaction network not only reveals warm spots of inhibitor bindings to BAZ2A and BAZ2B but also unveils that common residue pairs, including (W1816, W1887), (P1817, P1888), (F1818, F1889), (V1822, V1893), (N1823, N1894),(L1826, L1897), (V1827, V1898), (F1872, F1943), (N1873, N1944) and (V1879, I1950) belonging to (BAZ2A, BAZ2B), induce mainly binding differences of inhibitors to BAZ2A and BAZ2B. Hence, insights from our current studies offer useful dynamics information relating with conformational alterations and structure-affinity relationship at atomistic levels for novel therapeutic strategies toward BAZ2A and BAZ2B.
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Affiliation(s)
- Lifei Wang
- School
of Science, Shandong Jiaotong University, 5001 Haitang Road, Changqing District, Jinan, Shandong Province 250357, China
| | - Yan Wang
- School
of Science, Shandong Jiaotong University, 5001 Haitang Road, Changqing District, Jinan, Shandong Province 250357, China
| | - Zhiyong Yang
- Department
of Physics, Jiangxi Agricultural University, 1101 Zhimin Road, Economic and Technological
Development Zone, Nanchang, Jiangxi Province 330045, China
| | - Shuobo Xu
- School
of Information Science and Electrical Engineering, Shandong Jiaotong University, 5001 Haitang Road, Changqing District, Jinan, Shandong Province 250357, China
| | - Hongyun Li
- School
of Science, Shandong Jiaotong University, 5001 Haitang Road, Changqing District, Jinan, Shandong Province 250357, China
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6
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Wang Y, Wu S, Wang L, Yang Z, Zhao J, Zhang L. Binding selectivity of inhibitors toward the first over the second bromodomain of BRD4: theoretical insights from free energy calculations and multiple short molecular dynamics simulations. RSC Adv 2020; 11:745-759. [PMID: 35423696 PMCID: PMC8693360 DOI: 10.1039/d0ra09469b] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 12/17/2020] [Indexed: 12/12/2022] Open
Abstract
Bromodomain-containing protein 4 (BRD4) plays an important role in mediating gene transcription involved in cancers and non-cancer diseases such as acute heart failure and inflammatory diseases. In this work, multiple short molecular dynamics (MSMD) simulations are integrated with a molecular mechanics generalized Born surface area (MM-GBSA) approach to decipher binding selectivity of three inhibitors 8NS, 82Y, and 837 toward two domains BD1 and BD2 of BRD4. The results demonstrate that the enthalpy effects play critical roles in selectivity identification of inhibitors toward BD1 and BD2, determining that 8NS has better selectivity toward BD2 than BD1, while 82Y and 837 more favorably bind to BD1 than BD2. A residue-based free-energy decomposition method was used to calculate an inhibitor-residue interaction spectrum and unveil contributions of separate residues to binding selectivity. The results identify six common residues, containing (P82, P375), (V87, V380), (L92, L385), (L94, L387), (N140, N433), and (I146, V439) individually belonging to (BD1, BD2) of BRD4, and yield a considerable binding difference of inhibitors to BD1 and BD2, suggesting that these residues play key roles in binding selectivity of inhibitors toward BD1 and BD2 of BRD4. Therefore, these results provide useful dynamics information and a structure affinity relationship for the development of highly selective inhibitors targeting BD1 and BD2 of BRD4.
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Affiliation(s)
- Yan Wang
- School of Science, Shandong Jiaotong University Jinan 250357 China
| | - Shiliang Wu
- School of Science, Shandong Jiaotong University Jinan 250357 China
| | - Lifei Wang
- School of Science, Shandong Jiaotong University Jinan 250357 China
| | - Zhiyong Yang
- Department of Physics, Jiangxi Agricultural University Nanchang 330045 China
| | - Juan Zhao
- School of Science, Shandong Jiaotong University Jinan 250357 China
| | - Lulu Zhang
- School of Science, Shandong Jiaotong University Jinan 250357 China
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7
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Prieto-Martínez FD, Medina-Franco JL. Current advances on the development of BET inhibitors: insights from computational methods. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2020; 122:127-180. [PMID: 32951810 DOI: 10.1016/bs.apcsb.2020.06.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Epigenetics was coined almost 70 years ago for the description of heritable phenotype without altering DNA sequences. Research on the field has uncovered significant roles of such mechanisms, that account for the biogenesis of several diseases. Further studies have led the way for drug development which targets epi-enzymes, mainly for cancer treatment. Of the numerous epi-targets involved with histone acetylation, bromodomains have captured the spotlight of drug discovery focused on novel therapies. However, due to high sequence identity, the development of potent and selective inhibitors poses a significant challenge. Herein, we discuss recent computational developments on BET inhibitors and other methods that may be applied for drug discovery in general. As a proof-of-concept, we discuss a virtual screening to identify novel BET inhibitors based on coumarin derivatives. From public data, we identified putative structure-activity relationships of coumarin scaffold and propose R-group modifications for BET selectivity. Results showed that the optimization and design of novel coumarins could be further explored.
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Affiliation(s)
- Fernando D Prieto-Martínez
- Department of Pharmacy, School of Chemistry, National Autonomous University of Mexico, Mexico City, Mexico
| | - José L Medina-Franco
- Department of Pharmacy, School of Chemistry, National Autonomous University of Mexico, Mexico City, Mexico
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8
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Wu SL, Wang LF, Sun HB, Wang W, Yu YX. Probing molecular mechanism of inhibitor bindings to bromodomain-containing protein 4 based on molecular dynamics simulations and principal component analysis. SAR AND QSAR IN ENVIRONMENTAL RESEARCH 2020; 31:547-570. [PMID: 32657160 DOI: 10.1080/1062936x.2020.1777584] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 05/31/2020] [Indexed: 06/11/2023]
Abstract
It is well known that bromodomain-containing protein 4 (BRD4) has been thought as a promising target utilized for treating various human diseases, such as inflammatory disorders, malignant tumours, acute myelogenous leukaemia (AML), bone diseases, etc. For this study, molecular dynamics (MD) simulations, binding free energy calculations, and principal component analysis (PCA) were integrated together to uncover binding modes of inhibitors 8P9, 8PU, and 8PX to BRD4(1). The results obtained from binding free energy calculations show that van der Waals interactions act as the main regulator in bindings of inhibitors to BRD4(1). The information stemming from PCA reveals that inhibitor associations extremely affect conformational changes, internal dynamics, and movement patterns of BRD4(1). Residue-based free energy decomposition method was wielded to unveil contributions of independent residues to inhibitor bindings and the data signify that hydrogen bonding interactions and hydrophobic interactions are decisive factors affecting bindings of inhibitors to BRD4(1). Meanwhile, eight residues Trp81, Pro82, Val87, Leu92, Leu94, Cys136, Asn140, and Ile146 are recognized as the common hot interaction spots of three inhibitors with BRD4(1). The results from this work are expected to provide a meaningfully theoretical guidance for design and development of effective inhibitors inhibiting of the activity of BRD4.
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Affiliation(s)
- S L Wu
- School of Science, Shandong Jiaotong University , Jinan, China
| | - L F Wang
- School of Science, Shandong Jiaotong University , Jinan, China
| | - H B Sun
- School of Science, Shandong Jiaotong University , Jinan, China
| | - W Wang
- School of Science, Shandong Jiaotong University , Jinan, China
| | - Y X Yu
- School of Science, Shandong Jiaotong University , Jinan, China
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9
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Wang LF, Wang Y, Yang ZY, Zhao J, Sun HB, Wu SL. Revealing binding selectivity of inhibitors toward bromodomain-containing proteins 2 and 4 using multiple short molecular dynamics simulations and free energy analyses. SAR AND QSAR IN ENVIRONMENTAL RESEARCH 2020; 31:373-398. [PMID: 32496901 DOI: 10.1080/1062936x.2020.1748107] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 03/24/2020] [Indexed: 06/11/2023]
Abstract
Emerging evidences indicate bromodomain-containing proteins 2 and 4 (BRD2 and BRD4) play critical roles in cancers, inflammations, cardiovascular diseases and other pathologies. Multiple short molecular dynamics (MSMD) simulations combined with molecular mechanics generalized Born surface area (MM-GBSA) method were applied to investigate the binding selectivity of three inhibitors 87D, 88M and 89G towards BRD2 over BRD4. The root-mean-square fluctuation (RMSF) analysis indicates that the structural flexibility of BRD4 is stronger than that of BRD2. Moreover the calculated distances between the Cα atoms in the centres of the ZA_loop and BC_loop of BRD4 are also bigger than that of BRD2. The rank of binding free energies calculated using MM-GBSA method agrees well with that determined by experimental data. The results show that 87D can bind more favourably to BRD2 than BRD4, while 88M has better selectivity on BRD4 over BRD2. Residue-based free-energy decomposition method was utilized to estimate the inhibitor-residue interaction spectrum and the results not only identify the hot interaction spots of inhibitors with BRD2 and BRD4, but also demonstrate that several common residues, including (W370, W374), (P371, P375), (V376, V380) and (L381, L385) belonging to (BRD2, BRD4), generate significant binding difference of inhibitors to BRD2 and BRD4.
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Affiliation(s)
- L F Wang
- School of Science, Shandong Jiaotong University , Jinan, China
| | - Y Wang
- School of Science, Shandong Jiaotong University , Jinan, China
| | - Z Y Yang
- Department of Physics, Jiangxi Agricultural University , Nanchang, China
| | - J Zhao
- School of Science, Shandong Jiaotong University , Jinan, China
| | - H B Sun
- School of Science, Shandong Jiaotong University , Jinan, China
| | - S L Wu
- School of Science, Shandong Jiaotong University , Jinan, China
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10
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Cong Y, Duan L, Huang K, Bao J, Zhang JZH. Alanine scanning combined with interaction entropy studying the differences of binding mechanism on HIV-1 and HIV-2 proteases with inhibitor. J Biomol Struct Dyn 2020; 39:1588-1599. [DOI: 10.1080/07391102.2020.1734488] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Yalong Cong
- School of Physics and Electronics, Shandong Normal University, Jinan, China
- Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, China
| | - Lili Duan
- School of Physics and Electronics, Shandong Normal University, Jinan, China
| | - Kaifang Huang
- School of Physics and Electronics, Shandong Normal University, Jinan, China
| | - Jinxiao Bao
- Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, China
| | - John Z. H. Zhang
- Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, China
- NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai, China
- Department of Chemistry, New York University, NY, NY, USA
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11
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Wang Y, Wang LF, Zhang LL, Sun HB, Zhao J. Molecular mechanism of inhibitor bindings to bromodomain-containing protein 9 explored based on molecular dynamics simulations and calculations of binding free energies. SAR AND QSAR IN ENVIRONMENTAL RESEARCH 2020; 31:149-170. [PMID: 31851834 DOI: 10.1080/1062936x.2019.1701075] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 12/02/2019] [Indexed: 06/10/2023]
Abstract
Recently, bromodomain-containing protein 9 (BRD9) has been a prospective therapeutic target for anticancer drug design. Molecular dynamics (MD) simulations combined with molecular mechanics generalized Born surface area (MM-GBSA) method were adopted to explore binding modes of three inhibitors (5SW, 5U2, and 5U6) to BRD9 and identify the hot spot of the inhibitor-BRD9 binding. The results indicate that the inhibitor 5SW has the strongest binding ability to BRD9 among the current three inhibitors. Furthermore, the rank of the binding free energies predicted by MM-GBSA approach agrees with that determined by the experimental values. In addition, inhibitor-residue interactions were computed by using residue-based free-energy decomposition method and the results suggest that residue His42 produces the CH-H interactions, residues Asn100, Ile53 and Val49 produce the CH-[Formula: see text] interactions with three inhibitors and Tyr106, Phe45 and Phe44 generate the π-π interactions with inhibitors. Notably, the residue Asn140 forms hydrogen bonding interactions with three inhibitors. This research is expected to provide useful molecular basis and dynamics information at atomic levels for the design of potent inhibitors inhibiting the activity of BRD9.
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Affiliation(s)
- Y Wang
- School of Science, Shandong Jiaotong University, Jinan, China
| | - L F Wang
- School of Science, Shandong Jiaotong University, Jinan, China
| | - L L Zhang
- School of Science, Shandong Jiaotong University, Jinan, China
| | - H B Sun
- School of Science, Shandong Jiaotong University, Jinan, China
| | - J Zhao
- School of Science, Shandong Jiaotong University, Jinan, China
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12
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Chen J, Liu X, Zhang S, Chen J, Sun H, Zhang L, Zhang Q. Molecular mechanism with regard to the binding selectivity of inhibitors toward FABP5 and FABP7 explored by multiple short molecular dynamics simulations and free energy analyses. Phys Chem Chem Phys 2020; 22:2262-2275. [DOI: 10.1039/c9cp05704h] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Recently, fatty acid binding proteins 5 and 7 (FABP5 and FABP7) have been regarded as the prospective targets for clinically treating multiple diseases related to FABPs.
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Affiliation(s)
- Jianzhong Chen
- School of Science
- Shandong Jiaotong University
- Jinan 250357
- People's Republic of China
| | - Xinguo Liu
- School of Physics and Electronics
- Shandong Normal University
- Jinan
- People's Republic of China
| | - Shaolong Zhang
- School of Physics and Electronics
- Shandong Normal University
- Jinan
- People's Republic of China
| | - Junxiao Chen
- School of Chemistry and Pharmaceutical Engineering
- Qilu University of Technology
- Jinan
- People's Republic of China
| | - Haibo Sun
- School of Science
- Shandong Jiaotong University
- Jinan 250357
- People's Republic of China
| | - Lin Zhang
- School of Construction Machinery
- Shandong Jiaotong University
- Jinan 250357
- People's Republic of China
| | - Qinggang Zhang
- School of Physics and Electronics
- Shandong Normal University
- Jinan
- People's Republic of China
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13
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Hu Y, Jiang C, Li B, Zhou L, Xu R, Guo Y, Cao Y, Cao G, Lu S. A novel lurasidone hydrochloride–shikimic acid co-amorphous system formed by hydrogen-bonding interaction with the retained pH-dependent solubility behavior. CrystEngComm 2020. [DOI: 10.1039/d0ce00952k] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The current study was aimed at investigating the lurasidone hydrochloride–shikimic acid co-amorphous system using a new type of organic acid.
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Affiliation(s)
- Yi Hu
- School of Pharmacy
- Hubei University of Chinese Medicine
- Wuhan 430065
- PR China
| | - Cuiping Jiang
- School of Traditional Chinese Medicine
- Southern Medical University
- Guangzhou 510515
- PR China
| | - Bin Li
- School of Pharmacy
- Hubei University of Chinese Medicine
- Wuhan 430065
- PR China
| | - Lijing Zhou
- School of Pharmacy
- Hubei University of Chinese Medicine
- Wuhan 430065
- PR China
| | - Renjie Xu
- School of Pharmacy
- Hubei University of Chinese Medicine
- Wuhan 430065
- PR China
| | - Yujie Guo
- School of Pharmacy
- Hubei University of Chinese Medicine
- Wuhan 430065
- PR China
| | - Yan Cao
- School of Pharmacy
- Hubei University of Chinese Medicine
- Wuhan 430065
- PR China
| | - Guosheng Cao
- School of Pharmacy
- Hubei University of Chinese Medicine
- Wuhan 430065
- PR China
| | - Shan Lu
- School of Pharmacy
- Hubei University of Chinese Medicine
- Wuhan 430065
- PR China
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