Roberto Rodríguez,Rubén Hernández
Roberto Rodríguez
Many segmentation techniques have been published, and some of them have been widely used in different application problems. Most of these segmentation techniques have been motivated by specific application purposes. Unsupervised methods, wh...
Modeling of thermodynamic and physico-chemical properties of coumarins bioactivity against Candida albicans using a Levenberg-Marquardt neural network [0.03%]
基于Levenberg-Marquardt神经网络的香豆素类化合物抗白色念珠菌生物活性的热力学及理化性质的建模研究
Seyyedeh Soghra Mousavi,Hanieh Bokharaie,Shadi Rahimi et al.
Seyyedeh Soghra Mousavi et al.
In recent years, due to vital need for novel fungicidal agents, investigation on natural antifungal resources has been increased. The special features exhibited by neural network classifiers make them suitable for handling complex problems ...
Lutvo Kurić
Lutvo Kurić
This paper discusses cyberinformation studies of the amino acid composition of insulin, in particular the identification of scientific terminology that could describe this phenomenon, ie, the study of genetic information, as well as the rel...
Pharmacogenomics of drug efficacy in the interferon treatment of chronic hepatitis C using classification algorithms [0.03%]
分类算法在聚乙二醇干扰素治疗慢性丙型肝炎药物疗效药效基因组学中的应用研究
Wan-Sheng Ke,Yuchi Hwang,Eugene Lin
Wan-Sheng Ke
Chronic hepatitis C (CHC) patients often stop pursuing interferon-alfa and ribavirin (IFN-alfa/RBV) treatment because of the high cost and associated adverse effects. It is highly desirable, both clinically and economically, to establish to...
Simultaneous use of solution, solid-state NMR and X-ray crystallography to study the conformational landscape of the Crh protein during oligomerization and crystallization [0.03%]
溶液状态、固态核磁共振及X射线衍射技术联合研究Crh蛋白寡聚化及结晶过程中的构象变化
Benjamin Bardiaux,Adrien Favier,Manuel Etzkorn et al.
Benjamin Bardiaux et al.
We explore, using the Crh protein dimer as a model, how information from solution NMR, solid-state NMR and X-ray crystallography can be combined using structural bioinformatics methods, in order to get insights into the transition from solu...
Dominik Heider,Sascha Hauke,Martin Pyka et al.
Dominik Heider et al.
In this study we used a Random Forest-based approach for an assignment of small guanosine triphosphate proteins (GTPases) to specific subgroups. Small GTPases represent an important functional group of proteins that serve as molecular switc...
Predicting recurrent aphthous ulceration using genetic algorithms-optimized neural networks [0.03%]
利用遗传算法优化神经网络预测复发性口腔溃疡
Najla S Dar-Odeh,Othman M Alsmadi,Faris Bakri et al.
Najla S Dar-Odeh et al.
Objective: To construct and optimize a neural network that is capable of predicting the occurrence of recurrent aphthous ulceration (RAU) based on a set of appropriate input data. ...
Stefan Franke,Julia Herfurth,Daniel Hoffmann
Stefan Franke
Ca(2+)-ions have a range of affinities to different proteins, depending on the various functions of these proteins. This makes the determination of Ca(2+)-protein affinities an interesting subject for functional studies. We have investigate...
Logical network of genotoxic stress-induced NF-κB signal transduction predicts putative target structures for therapeutic intervention strategies [0.03%]
基因毒性胁迫诱导的NF-κB信号转导逻辑网络可预测治疗性干预策略的目标结构模型
Rainer Poltz,Raimo Franke,Katrin Schweitzer et al.
Rainer Poltz et al.
Genotoxic stress is induced by a broad range of DNA-damaging agents and could lead to a variety of human diseases including cancer. DNA damage is also therapeutically induced for cancer treatment with the aim to eliminate tumor cells. Howev...
Computer applications for prediction of protein-protein interactions and rational drug design [0.03%]
用于蛋白质-蛋白质相互作用预测和理性药物设计的计算机应用
Solène Grosdidier,Max Totrov,Juan Fernández-Recio
Solène Grosdidier
In recent years, protein-protein interactions are becoming the object of increasing attention in many different fields, such as structural biology, molecular biology, systems biology, and drug discovery. From a structural biology perspectiv...