Protection of Protein Secondary Structure by Saccharides of Different Molecular Weights during Freeze-Drying

2004 ◽  
Vol 52 (2) ◽  
pp. 199-203 ◽  
Author(s):  
Ken-ichi Izutsu ◽  
Nobuo Aoyagi ◽  
Shigeo Kojima
Keyword(s):  
Secondary Structure ◽  
Freeze Drying ◽  
Protein Secondary Structure ◽  
Molecular Weights

Effects of cooling rate in microscale and pilot scale freeze-drying – Variations in excipient polymorphs and protein secondary structure

2016 ◽  
Vol 95 ◽  
pp. 72-81 ◽  
Author(s):  
Björn-Hendrik Peters ◽  
Lotte Staels ◽  
Jimi Rantanen ◽  
Ferdinand Molnár ◽  
Thomas De Beer ◽  
...  
Keyword(s):  
Secondary Structure ◽  
Cooling Rate ◽  
Freeze Drying ◽  
Protein Secondary Structure ◽  
Pilot Scale

A Systematic Review on Popularity, Application and Characteristics of Protein Secondary Structure Prediction Tools

2019 ◽  
Vol 16 (2) ◽  
pp. 159-172 ◽  
Author(s):  
Elaheh Kashani-Amin ◽  
Ozra Tabatabaei-Malazy ◽  
Amirhossein Sakhteman ◽  
Bagher Larijani ◽  
Azadeh Ebrahim-Habibi
Keyword(s):  
Systematic Review ◽  
Secondary Structure ◽  
Structure Prediction ◽  
Web Of Science ◽  
Secondary Structure Prediction ◽  
Structural Information ◽  
Protein Secondary Structure ◽  
Structural Features ◽  
Prediction Tools ◽  
Insight Into

Background: Prediction of proteins’ secondary structure is one of the major steps in the generation of homology models. These models provide structural information which is used to design suitable ligands for potential medicinal targets. However, selecting a proper tool between multiple Secondary Structure Prediction (SSP) options is challenging. The current study is an insight into currently favored methods and tools, within various contexts. Objective: A systematic review was performed for a comprehensive access to recent (2013-2016) studies which used or recommended protein SSP tools. Methods: Three databases, Web of Science, PubMed and Scopus were systematically searched and 99 out of the 209 studies were finally found eligible to extract data. Results: Four categories of applications for 59 retrieved SSP tools were: (I) prediction of structural features of a given sequence, (II) evaluation of a method, (III) providing input for a new SSP method and (IV) integrating an SSP tool as a component for a program. PSIPRED was found to be the most popular tool in all four categories. JPred and tools utilizing PHD (Profile network from HeiDelberg) method occupied second and third places of popularity in categories I and II. JPred was only found in the two first categories, while PHD was present in three fields. Conclusion: This study provides a comprehensive insight into the recent usage of SSP tools which could be helpful for selecting a proper tool.

Sign in / Sign up

Export Citation Format

Share Document