A Study on the International Compatibility Support for Korea e-Navigation Maritime Messaging Service: Focused on the RESTful Service that Registered in Maritime Service Registry

2018 ◽  
Vol 23 (4) ◽  
pp. 342-352
Author(s):  
Yong-Sik Jeon ◽  
Hae-Kyoung Kwon ◽  
Pu-Reum Kim ◽  
Yong-Hyeon Yu
Keyword(s):  
Restful Service

scholarly journals RESTful Service Development for Resource-Constrained Environments

2011 ◽  
pp. 221-236 ◽  
Author(s):  
Amirhosein Taherkordi ◽  
Frank Eliassen ◽  
Daniel Romero ◽  
Romain Rouvoy
Keyword(s):  
Service Development ◽  
Resource Constrained ◽  
Constrained Environments ◽  
Restful Service

RESTful service composition at a glance: A survey

2016 ◽  
Vol 60 ◽  
pp. 32-53 ◽  
Author(s):  
Martin Garriga ◽  
Cristian Mateos ◽  
Andres Flores ◽  
Alejandra Cechich ◽  
Alejandro Zunino
Keyword(s):  
Service Composition ◽  
Restful Service

scholarly journals A3D 2.0 update for the prediction and optimization of protein solubility

2021 ◽  
Author(s):  
Jordi Pujols ◽  
Valentín Iglesias ◽  
Jaime Santos ◽  
Aleksander Kuriata ◽  
Sebastian Kmiecik ◽  
...  
Keyword(s):  
Protein Aggregation ◽  
Protein Solubility ◽  
Protein Sequences ◽  
Cost Effective ◽  
Computational Pipeline ◽  
Protein Surfaces ◽  
Computational Approaches ◽  
Aggregation Propensity ◽  
Restful Service ◽  
Protein Redesign

AbstractProtein aggregation propensity is a property imprinted in protein sequences and structures, being associated with the onset of human diseases and limiting the implementation of protein-based biotherapies. Computational approaches stand as cost-effective alternatives for reducing protein aggregation and increasing protein solubility. AGGRESCAN 3D (A3D) is a structure-based predictor of aggregation that takes into account the conformational context of a protein, aiming to identify aggregation-prone regions exposed in protein surfaces. Here we inspect the updated 2.0 version of the algorithm, which extends the application of A3D to previously inaccessible proteins and incorporates new modules to assist protein redesign. Among these features, the new server includes stability calculations and the possibility to optimize protein solubility using an experimentally validated computational pipeline. Finally, we employ defined examples to navigate the A3D RESTful service, a routine to handle extensive protein collections. Altogether, this work is conceived to train and assist A3D non-experts in the study of aggregation-prone regions and protein solubility redesign.

Building the RESTful Service with ASP.NET Core MVC Services

2017 ◽  
pp. 83-118
Author(s):  
Philip Japikse ◽  
Kevin Grossnicklaus ◽  
Ben Dewey
Keyword(s):  
Restful Service
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