Modeling, predicting and virtual screening of selective inhibitors of MMP-3 and MMP-9 over MMP-1 using random forest classification (English)
- New search for: Li, Bing-Ke
- New search for: Li, Bing-Ke
- New search for: He, Bing
- New search for: Tian, Zhi-Yue
- New search for: Chen, Yu-Zong
- New search for: Xue, Ying
In:
Chemometrics and intelligent laboratory systems
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147
; 30-40
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2015
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ISSN:
- Article (Journal) / Print
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Title:Modeling, predicting and virtual screening of selective inhibitors of MMP-3 and MMP-9 over MMP-1 using random forest classification
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Contributors:
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Published in:Chemometrics and intelligent laboratory systems ; 147 ; 30-40
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Publisher:
- New search for: Elsevier
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Place of publication:Amsterdam
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Publication date:2015
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ISSN:
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ZDBID:
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DOI:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 535/3155/3640
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Keywords:
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Classification:
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Source:
Table of contents – Volume 147
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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“NanoBRIDGES” software: Open access tools to perform QSAR and nano-QSAR modelingAmbure, Pravin / Aher, Rahul Balasaheb / Gajewicz, Agnieszka / Puzyn, Tomasz / Roy, Kunal et al. | 2015
- 14
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A model-free direct synthesis method for PI/PID controller design based on disturbance rejectionJeng, Jyh-Cheng et al. | 2015
- 30
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Modeling, predicting and virtual screening of selective inhibitors of MMP-3 and MMP-9 over MMP-1 using random forest classificationLi, Bing-Ke / He, Bing / Tian, Zhi-Yue / Chen, Yu-Zong / Xue, Ying et al. | 2015
- 41
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Determination of free Mg2+ in turbid samples with the coexistence of interfering Ca2+ using extended quantitative fluorescence modelYan, Xiu-Fang / Chen, Zeng-Ping / Kong, Jing-Jing / Hu, Yuan-Liang / Chen, Yao / Yu, Ru-Qin et al. | 2015
- 47
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Measuring and comparing the resolution performance and the extent of rotation ambiguities of some bilinear modeling methodsZhang, Xin / Tauler, Roma et al. | 2015
- 58
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Data density-based fault detection and diagnosis with nonlinearities between variables and multimodal data distributionsKaneko, Hiromasa / Funatsu, Kimito et al. | 2015
- 66
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Multivariate curve resolution alternating least square (MCR-ALS) analysis on total synchronous fluorescence spectroscopy (TSFS) data sets: Comparing certain ways of arranging TSFS-based three-way arrayKumar, Keshav / Mishra, Ashok Kumar et al. | 2015
- 75
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Co-training partial least squares model for semi-supervised soft sensor developmentBao, Liang / Yuan, Xiaofeng / Ge, Zhiqiang et al. | 2015
- 86
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Neighborhood preserving regression embedding based data regression and its applications on soft sensor modelingAimin, Miao / Peng, Li / Lingjian, Ye et al. | 2015
- 95
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How to weight Hasse matrices and reduce incomparabilitiesGrisoni, Francesca / Consonni, Viviana / Nembri, Serena / Todeschini, Roberto et al. | 2015
- 105
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MVC app: A smartphone application for performing chemometric methodsParastar, Hadi / Shaye, Hamidreza et al. | 2015
- 111
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Methane bubble formation and dynamics in a rectangular bubble column: A CFD studyPourtousi, M. / Ganesan, P. / Kazemzadeh, Amin / Sandaran, Shanti C. / Sahu, J.N. et al. | 2015
- 121
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Parallel factor (PARAFAC) analysis on total synchronous fluorescence spectroscopy (TSFS) data sets in excitation–emission matrix fluorescence (EEMF) layout: Certain practical aspectsKumar, Keshav / Kumar Mishra, Ashok et al. | 2015
- 131
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Quantitative determination on binary-component polymer bonded explosives: A joint study of ultraviolet spectrophotometry and multivariate calibration methodsLu, Tao / Wen, Zhining / Wang, Lu / He, Xuan / Yuan, Yuan / Wang, Minqi / Zhao, Yihuan / Li, Menglong / Pu, Xuemei / Xu, Tao et al. | 2015
- 139
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Kernel-based calibration methods combined with multivariate feature selection to improve accuracy of near-infrared spectroscopic analysisLee, Junghye / Chang, Kyeol / Jun, Chi-Hyuck / Cho, Rae-Kwang / Chung, Hoeil / Lee, Hyeseon et al. | 2015
- 147
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A new data classification method based on chaotic particle swarm optimization and least square-support vector machineLiu, Fang / Zhou, Zhiguang et al. | 2015
- 157
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Determination of concentration of ACQ wood preservative components by UV-Visible spectroscopy coupled with multivariate data analysisNkansah, Kofi / Adedipe, Oluwatosin / Dawson-Andoh, Benjamin / Atta-Obeng, Emmanuel / Slahor, Jeffrey / Osborn, Larry et al. | 2015
- 167
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Nonlinear feature extraction for soft sensor modeling based on weighted probabilistic PCAYuan, Xiaofeng / Ye, Lingjian / Bao, Liang / Ge, Zhiqiang / Song, Zhihuan et al. | 2015
- 176
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Improvement of iterative optimization technology (for process analytical technology calibration-free/minimum approach) with dimensionality reduction and wavelength selection of spectraKaneko, Hiromasa / Muteki, Koji / Funatsu, Kimito et al. | 2015
- 185
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Corrigendum to “Classification of oestrogen receptor selective compounds with benzopyranskeleton using counterpropagation artificial neural networks optimised by genetic algorithms” [Chemom. Intell. Lab. Syst. (2015) 385–395]Cui, Ying / Shen, Jibin / Li, Yaxiao / Li, Jianyu / Zhang, Ting et al. | 2015
- IFC
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Editorial Board| 2015