Structure-based classification of FAD binding sites: A comparative study of structural alignment tools

2016 ◽  
Vol 84 (11) ◽  
pp. 1728-1747 ◽  
Author(s):  
Leonardo D. Garma ◽  
Milagros Medina ◽  
André H. Juffer
Keyword(s):  
Comparative Study ◽  
Binding Sites ◽  
Structural Alignment ◽  
Fad Binding

FAD-BERT: Improved prediction of FAD binding sites using pre-training of deep bidirectional transformers

2021 ◽  
Vol 131 ◽  
pp. 104258
Author(s):  
Quang-Thai Ho ◽  
Trinh-Trung-Duong Nguyen ◽  
Nguyen Quoc Khanh Le ◽  
Yu-Yen Ou
Keyword(s):  
Binding Sites ◽  
Fad Binding

scholarly journals CNN architecture comparison for radio galaxy classification

2021 ◽  
Vol 503 (2) ◽  
pp. 1828-1846
Author(s):  
Burger Becker ◽  
Mattia Vaccari ◽  
Matthew Prescott ◽  
Trienko Grobler
Keyword(s):  
Comparative Study ◽  
Galaxy Evolution ◽  
Radio Galaxy ◽  
Recognition Performance ◽  
Model Complexity ◽  
Great Promise ◽  
Radio Sources ◽  
Morphological Classification ◽  
Computational Performance

ABSTRACT The morphological classification of radio sources is important to gain a full understanding of galaxy evolution processes and their relation with local environmental properties. Furthermore, the complex nature of the problem, its appeal for citizen scientists, and the large data rates generated by existing and upcoming radio telescopes combine to make the morphological classification of radio sources an ideal test case for the application of machine learning techniques. One approach that has shown great promise recently is convolutional neural networks (CNNs). Literature, however, lacks two major things when it comes to CNNs and radio galaxy morphological classification. First, a proper analysis of whether overfitting occurs when training CNNs to perform radio galaxy morphological classification using a small curated training set is needed. Secondly, a good comparative study regarding the practical applicability of the CNN architectures in literature is required. Both of these shortcomings are addressed in this paper. Multiple performance metrics are used for the latter comparative study, such as inference time, model complexity, computational complexity, and mean per class accuracy. As part of this study, we also investigate the effect that receptive field, stride length, and coverage have on recognition performance. For the sake of completeness, we also investigate the recognition performance gains that we can obtain by employing classification ensembles. A ranking system based upon recognition and computational performance is proposed. MCRGNet, Radio Galaxy Zoo, and ConvXpress (novel classifier) are the architectures that best balance computational requirements with recognition performance.

Specification of the bonding cavities available in metal-binding sites: a comparative study of a series of quadridentate macrocyclic ligands

1984 ◽  
Vol 106 (6) ◽  
pp. 1641-1645 ◽  
Author(s):  
Kim Henrick ◽  
Leonard F. Lindoy ◽  
Mary McPartlin ◽  
Peter A. Tasker ◽  
Michael P. Wood
Keyword(s):  
Comparative Study ◽  
Metal Binding ◽  
Binding Sites ◽  
Macrocyclic Ligands ◽  
Metal Binding Sites

Structure and Semantics of Tactile Verbs in a Comparative Aspect (On the Material of the English, German and Russian Languages)

2021 ◽  
pp. 58-63
Author(s):  
Yu. A. Sakhno
Keyword(s):  
Comparative Study ◽  
Semantic Features ◽  
Semantic Classification ◽  
Comparative Aspect ◽  
Similarities And Differences ◽  
The Comparative Study ◽  
Linguistic Units

This article deals with the study of the structural and semantic features of tactile verbs (hereinafter TVs) in English, German and Russian. Particular attention is paid to the comparative study of TVs, which allows us to identify structural and semantic similarities and differences of linguistic units studied. The structural and semantic classification of TVs in the compared languages is also provided.

Sign in / Sign up

Export Citation Format

Share Document