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Docking strategies for predicting protein-ligand interactions and their application to structure-based drug design. 预测蛋白质配体相互作用的对接策略及其在基于结构的药物设计中的应用。
IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-01-01 Epub Date: 2024-10-21 DOI: 10.4310/cis.241021221101
Zhiwei Ma, Abeeb Ajibade, Xiaoqin Zou

Molecular docking stands as a pivotal element in the realm of computer-aided drug design (CADD), consistently contributing to advancements in pharmaceutical research. In essence, it employs computer algorithms to identify the "best" match between two molecules, akin to solving intricate three-dimensional jigsaw puzzles. At a more stringent level, the molecular docking challenge entails predicting the accurate bound association state based on the atomic coordinates of two molecules. This process assumes particular significance in unraveling the mechanistic intricacies of physicochemical interactions at the atomic scale. Notably, the application of docking, especially in the context of protein-small molecule interactions, holds wide-ranging implications for structure-based drug design, given the prevalent use of small compounds as drug candidates. This study provides an overview of docking methodologies, delves into recent key developments, elucidates the physicochemical underpinnings of molecular recognition in protein-ligand interactions, and concludes by addressing the applications of docking in virtual screening, alongside current challenges within existing docking methods.

分子对接是计算机辅助药物设计(CADD)领域的一个关键要素,不断推动着药物研究的进步。从本质上讲,它利用计算机算法来确定两个分子之间的 "最佳 "匹配,就像解决复杂的三维拼图一样。在更严格的层面上,分子对接挑战需要根据两个分子的原子坐标预测准确的结合状态。这一过程对于揭示原子尺度上错综复杂的物理化学相互作用机理具有特别重要的意义。值得注意的是,鉴于小化合物作为候选药物的普遍使用,对接的应用,尤其是在蛋白质-小分子相互作用方面的应用,对基于结构的药物设计具有广泛的影响。本研究概述了对接方法,深入探讨了近期的主要发展,阐明了蛋白质-配体相互作用中分子识别的物理化学基础,最后讨论了对接在虚拟筛选中的应用以及现有对接方法面临的挑战。
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引用次数: 0
smFRET-assisted RNA structure prediction. smFRET 辅助 RNA 结构预测。
IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-01-01 Epub Date: 2024-10-21 DOI: 10.4310/cis.241021213225
Jun Li, Nils G Walter, Shi-Jie Chen

Single-molecule Förster Resonance Energy Transfer (smFRET) is a powerful biophysical technique that utilizes the distance-dependent energy transfer between donor and acceptor dyes linked to individual molecules, providing insights into molecular conformational changes and interactions at the single-molecule level. Prior investigations leveraged smFRET to study the conformational dynamics of single truncated Ubc4 pre-mRNA molecules during splicing, yet these efforts did not prioritize structural modeling. In this study, we develop an smFRET-assisted RNA prediction method to predict the 2D and 3D structures of this pre-mRNA. To achieve this, we initiate the process by generating RNA structural ensembles through coarse-grained molecular dynamics (MD) simulations. Subsequently, inter-dye distances are calculated for these RNA structural ensembles by performing all-atom MD simulations of the dye groups. The ultimate determination of the 2D and 3D structures for the pre-mRNA is achieved by comparing the calculated inter-dye distances with experimental counterparts. Notably, our computational results demonstrate a significant alignment with experimental findings, which involve a conformational change at the 2D level.

单分子佛斯特共振能量转移(smFRET)是一种强大的生物物理技术,它利用与单个分子相连的供体和受体染料之间随距离变化的能量转移,在单分子水平上深入研究分子构象变化和相互作用。之前的研究利用 smFRET 研究了单个截短的 Ubc4 pre-mRNA 分子在剪接过程中的构象动态,但这些研究并没有优先考虑结构建模。在本研究中,我们开发了一种 smFRET 辅助的 RNA 预测方法,以预测该前 mRNA 的二维和三维结构。为此,我们首先通过粗粒度分子动力学(MD)模拟生成 RNA 结构集合。随后,通过对染料基团进行全原子 MD 模拟,计算出这些 RNA 结构集合的染料间距离。通过将计算出的染料间距离与实验数据进行比较,最终确定前 mRNA 的二维和三维结构。值得注意的是,我们的计算结果与实验结果非常吻合,实验结果涉及二维水平的构象变化。
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引用次数: 0
Exploring the evolutionary dynamics of infectious diseases through SIS epidemic models 通过SIS流行病模型探索传染病的进化动力学
Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.4310/cis.2023.v23.n3.a4
King-Yeung Lam, Yuan Lou, Shizhao Ma
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引用次数: 0
Preface of special issue dedicated to Professor Avner Friedman’s 90th birthday 阿夫纳·弗里德曼教授90岁生日特刊序言
Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.4310/cis.2023.v23.n3.a1
Jong-Shenq Guo, Bei Hu, Robert Jensen, Stephen S.-T. Yau
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引用次数: 0
A review of computational models for predicting protein-protein interaction and non-interaction 预测蛋白质-蛋白质相互作用和非相互作用的计算模型综述
IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.4310/cis.2023.v23.n2.a1
Nan Zhao, Xinqi Gong
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引用次数: 0
Prediction of human looking behavior using interest-based image representations 基于兴趣的图像表示预测人类观看行为
Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.4310/cis.2023.v23.n3.a2
Jong-Shenq Guo, Karen Guo, Paul Schrater
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引用次数: 0
Periodic solution for a free boundary problem modeling small plaques 小斑块自由边界问题的周期解
Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.4310/cis.2023.v23.n3.a3
Yaodan Huang, Bei Hu
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引用次数: 0
Flow of an incompressible nonlinear bipolar viscous fluid in a sinusoidally constricted channel 不可压缩非线性双极粘性流体在正弦收缩通道中的流动
Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.4310/cis.2023.v23.n3.a5
Allen Montz, Hamid Bellout, Frederick Bloom
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引用次数: 0
TSDFFilter: content-aware communication planning for remote 3D reconstruction TSDFFilter:远程3D重建的内容感知通信规划
IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.4310/cis.2023.v23.n2.a3
Xu-Qiang Hu, Zi-Xin Zou, Dinesh Manocha
We present a novel solution, TSDFFilter, for remote 3D reconstruction to relieve the high bandwidth requirement problem. Our approach is designed for scenarios where agents are used to collect data using an RGB-D camera and then transmit the information over the regular network to a high-performance server, where a global, dense, and volumetric model of a real-world scene is reconstructed. Our approach uses a content-aware communication planning framework in which agents can prune the gathered RGB-D information according to the transmission policy generated by the server. To generate the transmission policy, we introduce a confidence value to estimate how much each RGB-D pixel contributes to the reconstruction quality, and present an algorithm to find the confidence value. As a result, agents can transmit less RGB-D information without blindly compromising the reconstruction quality as the key-frame method and down-sampling method do. We implement our TSDFFilter framework to achieve real-time agent-assisted 3D reconstruction. Extensive evaluations show that comparing with the key-frame and down-sampling methods, our TSDFFil-ter framework can reduce the bandwidth requirement by up to 36% with similar reconstruction Chamfer distance, and reduce the reconstruction Chamfer distance by up to 78% with similar bandwidth requirement.
本文提出了一种新的解决方案,即TSDFFilter,用于远程三维重建,以缓解带宽要求高的问题。我们的方法是为使用代理使用RGB-D相机收集数据,然后通过常规网络将信息传输到高性能服务器的场景而设计的,在该服务器上重构真实世界场景的全局、密集和体积模型。我们的方法使用内容感知通信规划框架,其中代理可以根据服务器生成的传输策略修剪收集到的RGB-D信息。为了生成传输策略,我们引入置信值来估计每个RGB-D像素对重建质量的贡献,并给出了一种求置信值的算法。因此,agent可以传输更少的RGB-D信息,而不会像关键帧方法和下采样方法那样盲目地影响重构质量。我们实现了我们的tsdfffilter框架来实现实时代理辅助的3D重建。大量的评估表明,与关键帧和下采样方法相比,我们的TSDFFil-ter框架可以在相似的重构倒角距离下减少高达36%的带宽需求,在相似的带宽需求下减少高达78%的重构倒角距离。
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引用次数: 0
Quantitative anatomy of characteristics and influencing factors of PM2.5 and O3 in Liaoning province of China 辽宁省PM2.5和O3特征及影响因素的定量剖析
IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.4310/cis.2023.v23.n2.a2
Hongmei Yang, Yanqi Liu, Xiaoqiu Jiang, Xinqi Gong
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引用次数: 0
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Communications in Information and Systems
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