Residue Cluster Classes: A Unified Protein Representation for Efficient Structural and Functional Classification
نویسندگان
چکیده
منابع مشابه
Toward a Unified Representation of Protein Structural Dynamics in Solution
An atomic resolution description of protein flexibility is essential for understanding the role that structural dynamics play in biological processes. Despite the unique dependence of nuclear magnetic resonance (NMR) to motional averaging on different time scales, NMR-based protein structure determination often ignores the presence of dynamics, representing rapidly exchanging conformational equ...
متن کاملProtein-RNA interactions: structural analysis and functional classes.
A data set of 89 protein-RNA complexes has been extracted from the Protein Data Bank, and the nucleic acid recognition sites characterized through direct contacts, accessible surface area, and secondary structure motifs. The differences between RNA recognition sites that bind to RNAs in functional classes has also been analyzed. Analysis of the complete data set revealed that van der Waals inte...
متن کاملCluster-space representation for hyperspectral data classification
This paper presents a generalization of the hybrid supervised–unsupervised approach to image classification, and an automatic procedure for implementing it with hyperspectral data. Cluster-space representation is introduced in which clustered training data is displayed in a one-dimensional (1-D) cluster-space showing its probability distribution. This representation leads to automatic associati...
متن کاملA comprehensive unified model of structural and reduced form type for defaultable fixed income bonds
The aim of this paper is to generalize the comprehensive structural model for defaultable fixed income bonds (considered in R. Agliardi, A comprehensive structural model for defaultable fixed-income bondsو Quant. Finance 11 (2011), no. 5, 749--762.) into a comprehensive unified model of structural and reduced form models. In our model the bond holders receive the deterministic co...
متن کاملA Joint Semantic Vector Representation Model for Text Clustering and Classification
Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Entropy
سال: 2020
ISSN: 1099-4300
DOI: 10.3390/e22040472