標(biāo)題: Titlebook: Docking Screens for Drug Discovery; Walter Filgueira de Azevedo Jr. Book 2019 Springer Science+Business Media, LLC, part of Springer Natur [打印本頁] 作者: deliberate 時(shí)間: 2025-3-21 18:46
書目名稱Docking Screens for Drug Discovery影響因子(影響力)
書目名稱Docking Screens for Drug Discovery影響因子(影響力)學(xué)科排名
書目名稱Docking Screens for Drug Discovery網(wǎng)絡(luò)公開度
書目名稱Docking Screens for Drug Discovery網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Docking Screens for Drug Discovery被引頻次
書目名稱Docking Screens for Drug Discovery被引頻次學(xué)科排名
書目名稱Docking Screens for Drug Discovery年度引用
書目名稱Docking Screens for Drug Discovery年度引用學(xué)科排名
書目名稱Docking Screens for Drug Discovery讀者反饋
書目名稱Docking Screens for Drug Discovery讀者反饋學(xué)科排名
作者: 善于騙人 時(shí)間: 2025-3-21 23:40 作者: oxidant 時(shí)間: 2025-3-22 01:33 作者: 鼓掌 時(shí)間: 2025-3-22 07:31 作者: 歡樂中國 時(shí)間: 2025-3-22 09:14 作者: chiropractor 時(shí)間: 2025-3-22 13:06 作者: chiropractor 時(shí)間: 2025-3-22 21:08 作者: A保存的 時(shí)間: 2025-3-23 00:41 作者: 昆蟲 時(shí)間: 2025-3-23 04:44 作者: harpsichord 時(shí)間: 2025-3-23 08:31
Alex Austin,Martina Fischer,Norbert Ropersr Waals interactions relevant to molecular recognition of a ligand by the binding pocket of a protein target. We describe the Lennard-Jones potential and its application to calculate potential energy for an ensemble of structures to highlight the main features related to the importance of this interaction for binding affinity.作者: 殘暴 時(shí)間: 2025-3-23 11:40 作者: gastritis 時(shí)間: 2025-3-23 15:37
Kjeld Jensen,Michael Lyons,Nicola Buckhurstpose in docking simulation. AutoDock4.2.6 has an arsenal of four search algorithms to carry out docking simulation including simulated annealing, genetic algorithm, and Lamarckian algorithm. In this chapter, we describe a tutorial about how to perform docking with AutoDock4. We focus our simulations on the protein target cyclin-dependent kinase 2.作者: Obligatory 時(shí)間: 2025-3-23 21:13 作者: 變量 時(shí)間: 2025-3-24 00:58
TGF-β Signaling in Homeostasis and Cancernput files using the program UCSF Chimera. In this chapter, we describe how to use UCSF Chimera and SwissDock to perform protein-ligand docking simulations. To illustrate the process, we describe the molecular docking of the competitive inhibitor roscovitine against the structure of human cyclin-dependent kinase 2.作者: 偽造 時(shí)間: 2025-3-24 03:45
Effects of Technology Diffusion upon Peoplehe program MODELLER. To illustrate its use, we describe how to model the structure of human cyclin-dependent kinase 3 using MODELLER. We explain the modeling procedure of CDK3 apoenzyme and the structure of this enzyme in complex with roscovitine.作者: annexation 時(shí)間: 2025-3-24 09:46
Challenges of Enterprise Systems. Using a systems approach, we proposed to address protein-ligand scoring functions using the modern idea of the scoring function space. In this chapter, we describe the fundamental concept behind the scoring function space and how it has been applied to develop the new generation of targeted-scoring functions.作者: FLINT 時(shí)間: 2025-3-24 13:18 作者: 無法破譯 時(shí)間: 2025-3-24 18:51 作者: Flounder 時(shí)間: 2025-3-24 19:01
Docking with AutoDock4,pose in docking simulation. AutoDock4.2.6 has an arsenal of four search algorithms to carry out docking simulation including simulated annealing, genetic algorithm, and Lamarckian algorithm. In this chapter, we describe a tutorial about how to perform docking with AutoDock4. We focus our simulations on the protein target cyclin-dependent kinase 2.作者: innate 時(shí)間: 2025-3-25 02:49 作者: growth-factor 時(shí)間: 2025-3-25 05:14
Docking with SwissDock,nput files using the program UCSF Chimera. In this chapter, we describe how to use UCSF Chimera and SwissDock to perform protein-ligand docking simulations. To illustrate the process, we describe the molecular docking of the competitive inhibitor roscovitine against the structure of human cyclin-dependent kinase 2.作者: 禮節(jié) 時(shí)間: 2025-3-25 09:57 作者: integral 時(shí)間: 2025-3-25 13:39 作者: averse 時(shí)間: 2025-3-25 19:50
Molecular Docking Simulations with ArgusLab,enetic algorithm as a search algorithm and a fast scoring function that allows users with minimal experience in the simulations of protein-ligand simulations to carry out docking simulations. In this chapter, we present a detailed tutorial to perform docking simulations using ArgusLab.作者: antecedence 時(shí)間: 2025-3-25 21:28 作者: Affable 時(shí)間: 2025-3-26 02:51 作者: 廢墟 時(shí)間: 2025-3-26 04:39 作者: 偏狂癥 時(shí)間: 2025-3-26 08:38 作者: 提升 時(shí)間: 2025-3-26 15:26
Yingli Wang,Mohamed Naim,Leighton Evansng as an initial system the three-dimensional structure obtained from experimental techniques or generated using homology modeling. In this chapter, we describe in detail a tutorial to carry out molecular dynamics simulations using the program NAMD2. We chose as a molecular system to simulate the structure of human cyclin-dependent kinase 2.作者: 進(jìn)入 時(shí)間: 2025-3-26 19:17
TGF-β and Progression of Esophageal Cancerseveral web services dedicated to carrying out molecular docking simulations, we selected the DockThor web service. To illustrate the application of DockThor to protein–ligand docking simulations, we analyzed the docking of a ligand against the structure of epidermal growth factor receptor, an essential molecular marker in cancer research.作者: Forage飼料 時(shí)間: 2025-3-26 22:32 作者: 不易燃 時(shí)間: 2025-3-27 03:27 作者: 難聽的聲音 時(shí)間: 2025-3-27 07:16 作者: WATER 時(shí)間: 2025-3-27 11:13
Understanding the Risks of Forecastingbe a tutorial to carry out docking simulations with MVD and how to perform a statistical analysis of the docking results with the program SAnDReS. To illustrate the integration of both programs, we describe the redocking simulation focused the cyclin-dependent kinase 2 in complex with a competitive inhibitor.作者: 變化 時(shí)間: 2025-3-27 14:28
,Electrostatic Energy in Protein–Ligand Complexes,of a ligand by the binding pocket of a protein target. Moreover, we analyze the electrostatic potential energy for an ensemble of structures to highlight the main features related to the importance of this interaction for binding affinity.作者: 統(tǒng)治人類 時(shí)間: 2025-3-27 21:29 作者: Amylase 時(shí)間: 2025-3-28 01:19 作者: Gourmet 時(shí)間: 2025-3-28 06:07
https://doi.org/10.1007/978-1-4939-9752-7Drug discovery; Protein-ligand docking simulations; Scoring functions; Molecular docking simulation; Com作者: 膽小鬼 時(shí)間: 2025-3-28 08:48 作者: flutter 時(shí)間: 2025-3-28 10:58
Walter Filgueira de Azevedo Jr.Includes cutting-edge techniques.Provides step-by-step detail essential for reproducible results.Contains key implementation advice from the experts作者: Vldl379 時(shí)間: 2025-3-28 18:11
Methods in Molecular Biologyhttp://image.papertrans.cn/e/image/282272.jpg作者: hemoglobin 時(shí)間: 2025-3-28 19:36 作者: 宣傳 時(shí)間: 2025-3-29 02:21
https://doi.org/10.1007/978-3-031-11578-3s are particularly well suited to predict the strength of this interaction. Here we describe how to build RF-Score, a scoring function utilizing the machine-learning technique known as Random Forest (RF). We also point out how to use different data, features, and regression models using either R or Python programming languages.作者: Adenoma 時(shí)間: 2025-3-29 03:43
https://doi.org/10.1007/978-3-031-11578-3s are particularly well suited to predict the strength of this interaction. Here we describe how to build RF-Score, a scoring function utilizing the machine-learning technique known as Random Forest (RF). We also point out how to use different data, features, and regression models using either R or 作者: 空中 時(shí)間: 2025-3-29 10:08 作者: Narrative 時(shí)間: 2025-3-29 11:51 作者: 披肩 時(shí)間: 2025-3-29 19:29
Alex Austin,Martina Fischer,Norbert Roperstions. Most of these applications had as a goal the identification of potential new binders to protein targets. Another remarkable progress is taking place in the determination of the structures of protein–ligand complexes, mostly using X-ray diffraction crystallography. Considering these developmen作者: Optic-Disk 時(shí)間: 2025-3-29 23:22 作者: paltry 時(shí)間: 2025-3-30 02:47
Alex Austin,Martina Fischer,Norbert Ropersvan der Waals interactions with considerable accuracy and with a computational complexity that allows its application to molecular docking simulations and virtual screening of large databases of small organic molecules. Several empirical scoring functions used to evaluate protein-ligand interactions作者: projectile 時(shí)間: 2025-3-30 05:03 作者: BLANC 時(shí)間: 2025-3-30 09:54 作者: seroma 時(shí)間: 2025-3-30 16:14 作者: 埋伏 時(shí)間: 2025-3-30 16:55
Understanding the Risks of Forecastingnal package. MVD has been successfully applied to hundreds of different proteins, with docking performance similar to other docking programs such as AutoDock4 and AutoDock Vina. The program MVD has four search algorithms and four native scoring functions. Considering that we may have water molecules作者: Firefly 時(shí)間: 2025-3-30 22:16
Effective Engagement of Field Service Teamsolution algorithm. As any docking program, GEMDOCK has two major features to predict the binding of a small-molecule ligand to the binding site of a protein target: the search algorithm and the scoring function to evaluate the generated poses. The GEMDOCK scoring function uses a piecewise potential 作者: 異端邪說2 時(shí)間: 2025-3-31 04:05 作者: Phonophobia 時(shí)間: 2025-3-31 07:32 作者: 字謎游戲 時(shí)間: 2025-3-31 12:28
TGF-β and Progression of Esophageal Cancerunique importance when allocated in web services, collaborating scientifically with several areas of knowledge in an interdisciplinary way. Among the several web services dedicated to carrying out molecular docking simulations, we selected the DockThor web service. To illustrate the application of D作者: antiquated 時(shí)間: 2025-3-31 13:50
Effects of Technology Diffusion upon Peoples are available. Although experimental methods such as X-ray crystallography and nuclear magnetic resonance spectroscopy successfully solved the structures of nearly 150,000 macromolecules, there is still a gap in our structural knowledge. We can fulfill this gap with computational methodologies. Ou
