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Computer-aided molecular design and optimization of potent inhibitors disrupting APC-Asef interaction
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作者 Xuefei Wang Zeqian Du +8 位作者 Yuegui Guo Jie Zhong Kun Song Junyuan Wang Jianqiang Yu Xiuyan Yang Chen-Ying Liu Ting Shi Jian Zhang 《Acta Pharmaceutica Sinica B》 SCIE CAS CSCD 2024年第6期2631-2645,共15页
Colorectal cancer(CRC)is the second leading cause of cancer mortality worldwide.At initial diagnosis,approximately 20%of patients are diagnosed with metastatic CRC(mCRC).Although the APC-Asef interaction is a well-est... Colorectal cancer(CRC)is the second leading cause of cancer mortality worldwide.At initial diagnosis,approximately 20%of patients are diagnosed with metastatic CRC(mCRC).Although the APC-Asef interaction is a well-established target for mCRC therapy,the discovery and development of effective and safe drugs for mCRC patients remains an urgent and challenging endeavor.In this study,we identified a novel structural scaffold based on MAI inhibitors,the first-in-class APC-Asef inhibitors we reported previously.ONIOM model-driven optimizations of the N-terminal cap and experimental evaluations of inhibitory activity were performed,and 24-fold greater potency was obtained with the best inhibitor compared to the parental compound.In addition,the cocrystal structure validated that the two-layerπ-πstacking interactions were essential for inhibitor stabilization in the bound state.Furthermore,in vitro and in vivo studies have demonstrated that novel inhibitors suppressed lung metastasis in CRC by disrupting the APC-Asef interaction.These results provide an intrinsic structural basis to further explore drug-like molecules for APC-Asef-mediated CRC therapy. 展开更多
关键词 APC-Asef PEPTIDOMIMETIC computer-aided molecular design ONIOM model π-πstacking Metastatic colorectal cancer
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Integrated computer-aided formulation design:A case study of andrographolide/cyclodextrin ternary formulation 被引量:3
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作者 Haoshi Gao Yan Su +6 位作者 Wei Wang Wei Xiong Xiyang Sun Yuanhui Ji Hua Yu Haifeng Li Defang Ouyang 《Asian Journal of Pharmaceutical Sciences》 SCIE CAS 2021年第4期494-507,共14页
Current formulation development strongly relies on trial-and-error experiments in the laboratory by pharmaceutical scientists,which is time-consuming,high cost and waste materials.This research aims to integrate vario... Current formulation development strongly relies on trial-and-error experiments in the laboratory by pharmaceutical scientists,which is time-consuming,high cost and waste materials.This research aims to integrate various computational tools,including machine learning,molecular dynamic simulation and physiologically based absorption modeling(PBAM),to enhance andrographolide(AG)/cyclodextrins(CDs)formulation design.The light GBM prediction model we built before was utilized to predict AG/CDs inclusion's binding free energy.AG/γ-CD inclusion complexes showed the strongest binding affinity,which was experimentally validated by the phase solubility study.The molecular dynamic simulation was used to investigate the inclusion mechanism between AG andγ-CD,which was experimentally characterized by DSC,FTIR and NMR techniques.PBAM was applied to simulate the in vivo behavior of the formulations,which were validated by cell and animal experiments.Cell experiments revealed that the presence of D-α-Tocopherol polyethylene glycol succinate(TPGS)significantly increased the intracellular uptake of AG in MDCKMDR1 cells and the absorptive transport of AG in MDCK-MDR1 monolayers.The relative bioavailability of the AG-CD-TPGS ternary system in rats was increased to 2.6-fold and 1.59-fold compared with crude AG and commercial dropping pills,respectively.In conclusion,this is the first time to integrate various computational tools to develop a new AG-CD-TPGS ternary formulation with significant improvement of aqueous solubility,dissolution rate and bioavailability.The integrated computational tool is a novel and robust methodology to facilitate pharmaceutical formulation design. 展开更多
关键词 Integrated computer-aided formulation design Machine learning molecular dynamic simulation Physiologically based absorption modeling ANDROGRAPHOLIDE Cyclodextrins
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Model-based optimal design of phase change ionic liquids for efficient thermal energy storage 被引量:3
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作者 Huaiwei Shi Xiang Zhang +1 位作者 Kai Sundmacher Teng Zhou 《Green Energy & Environment》 SCIE CSCD 2021年第3期392-404,共13页
The selection of phase change material(PCM)plays an important role in developing high-efficient thermal energy storage(TES)processes.Ionic liquids(ILs)or organic salts are thermally stable,non-volatile,and non-flammab... The selection of phase change material(PCM)plays an important role in developing high-efficient thermal energy storage(TES)processes.Ionic liquids(ILs)or organic salts are thermally stable,non-volatile,and non-flammable.Importantly,researchers have proved that some ILs possess higher latent heat of fusion than conventional PCMs.Despite these attractive characteristics,yet surprisingly,little research has been performed to the systematic selection or structural design of ILs for TES.Besides,most of the existing work is only focused on the latent heat when selecting PCMs.However,one should note that other properties such as heat capacity and thermal conductivity could affect the TES performance as well.In this work,we propose a computer-aided molecular design(CAMD)based method to systematically design IL PCMs for a practical TES process.The effects of different IL properties are simultaneously captured in the IL property models and TES process models.Optimal ILs holding a best compromise of all the properties are identified through the solution of a formulated CAMD problem where the TES performance of the process is maximized.[MPyEtOH][TfO]is found to be the best material and excitingly,the identified top nine ILs all show a higher TES performance than the traditional PCM paraffin wax at 10 h thermal charging time. 展开更多
关键词 Ionic liquid Phase change material Thermal energy storage computer-aided molecular design Process modelling and evaluation
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5-氨基水杨酸与乙基纤维素溶混性的计算机模拟(英文) 被引量:1
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作者 姚立新 谭载友 +1 位作者 吕竹芬 张蜀 《中国药科大学学报》 CAS CSCD 北大核心 2000年第6期430-433,共4页
使用计算机辅助分子建模(CAMM)、分子力学和蒙特卡罗方法,模拟了5 -氨基水杨酸(5-ASA,C7H7NO3,美沙拉灵(sp-57-6))与乙基纤维素(EC)的溶混性 。模拟结果显示,在273K至316K的温度范围内,5-氨基水杨酸与乙基纤维素能以任何比例 混... 使用计算机辅助分子建模(CAMM)、分子力学和蒙特卡罗方法,模拟了5 -氨基水杨酸(5-ASA,C7H7NO3,美沙拉灵(sp-57-6))与乙基纤维素(EC)的溶混性 。模拟结果显示,在273K至316K的温度范围内,5-氨基水杨酸与乙基纤维素能以任何比例 混溶。得出Emix(T)=A+BT+C/T模型,A=0.3694E+04, B=-0.2610E-02,and C= 0.1818E+04, 以及Emix(T)模型标准方差,S=0.2654E-03kcal/mol。对乙基 纤维素及5-氨基水杨酸与乙基纤维素混溶过程的能量和构象分析表明,混溶过程中有乙基 纤维素分子内和乙基纤维素与乙基纤维素分子间氢键形成。对两相混溶体系进行了热力学分 析。 展开更多
关键词 5-氨基水杨酸 乙基纤维素 溶混性 计算机辅助 分子建模
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tRNA^(His/GUG)识别特性的分子力学模拟(英文)
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作者 姚立新 曹槐 刘次全 《广东药学院学报》 CAS 2000年第1期1-6,共6页
本文选用经过实验验证的碱基序列 ,用简化的方式 ,构建了被水分子和镁离子修饰的核酸序列的分子模型 ,应用分子力学模拟方法对序列进行能量优化 ,对优化后序列的构象参数、成键状况和能量数据等进行了分析。对tRNAHHis GUG的识别特性作... 本文选用经过实验验证的碱基序列 ,用简化的方式 ,构建了被水分子和镁离子修饰的核酸序列的分子模型 ,应用分子力学模拟方法对序列进行能量优化 ,对优化后序列的构象参数、成键状况和能量数据等进行了分析。对tRNAHHis GUG的识别特性作了初步的探索 ,得到了和实验结果相近的结论。此外 ,还从能力学的角度讨论了溶剂 -溶质 -溶剂相互作用形成的网状氢键网络对核酸结构稳定性的影响 ,探讨了非Crick_WatsonGU、UU配对的能力学特征并存在于被水分子和镁离子修饰的核酸序列中的GU、UU配对情况。 展开更多
关键词 camm 识别特性 tRNAHis/GUG 分子力学
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爱普列特及其类似物红外吸收光谱的计算机模拟(英文)
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作者 姚立新 谭载友 +2 位作者 廖清江 黎知云 张蜀 《广东药学院学报》 CAS 2001年第1期1-4,共4页
应用计算机辅助分子建模 (CAMM )和分子力学方法模拟一种有效的人类 5α 还原酶 (EC 1.3 .1.30 )抑制物—爱普列特(epristeride (SK&F 10 5 6 5 7,17β [[(1,1 Dimethlethyl)amino]carbonyl]androsta 3 ,5 diene 3 carboxylicacid... 应用计算机辅助分子建模 (CAMM )和分子力学方法模拟一种有效的人类 5α 还原酶 (EC 1.3 .1.30 )抑制物—爱普列特(epristeride (SK&F 10 5 6 5 7,17β [[(1,1 Dimethlethyl)amino]carbonyl]androsta 3 ,5 diene 3 carboxylicacid) )及其类似物的红外吸收光谱。经过详细的计算机三维可视化和动态波形分析 ,对比实验测定的结果 ,表明模拟爱普列特红外吸收光谱曲线波形以及一些特征基团的振动和实验测定的结果相似。 展开更多
关键词 爱普列特 计算机辅助分子建模 模拟红外光谱 能量最小化 动态波形分析 类似物
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