K-Ras(G12D)-selective inhibitory peptides generated by random peptide T7 phage display technology

2017 ◽  
Vol 484 (3) ◽  
pp. 605-611 ◽  
Author(s):  
Kotaro Sakamoto ◽  
Yusuke Kamada ◽  
Tomoya Sameshima ◽  
Masahiro Yaguchi ◽  
Ayumu Niida ◽  
...  
2017 ◽  
Vol 482 (2) ◽  
pp. 195-201 ◽  
Author(s):  
Kotaro Sakamoto ◽  
Satoshi Sogabe ◽  
Yusuke Kamada ◽  
Shin-ichi Matsumoto ◽  
Akito Kadotani ◽  
...  

2005 ◽  
Vol 15 (21) ◽  
pp. 4846-4849 ◽  
Author(s):  
Yoichi Takakusagi ◽  
Keisuke Ohta ◽  
Kouji Kuramochi ◽  
Kengo Morohashi ◽  
Susumu Kobayashi ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Luiz Carlos de Oliveira-Júnior ◽  
Fabiana de Almeida Araújo Santos ◽  
Luiz Ricardo Goulart ◽  
Carlos Ueira-Vieira

Autoantibodies (aAb) associated with Alzheimer’s disease (AD) have not been sufficiently characterized and their exact involvement is undefined. The use of information technology and computerized analysis with phage display technology was used, in the present research, to map the epitope of putative self-antigens in AD patients. A 12-mer random peptide library, displayed on M13 phages, was screened using IgG from AD patients with two repetitions. Seventy-one peptides were isolated; however, only 10 were positive using the Elisa assay technique (Elisa Index > 1). The results showed that the epitope regions of the immunoreactive peptides, identified by phage display analysis, were on the exposed surfaces of the proteins. The putative antigens MAST1, Enah, MAO-A, X11/MINT1, HGF, SNX14, ARHGAP 11A, APC, and CENTG3, which have been associated with AD or have functions in neural tissue, may indicate possible therapeutic targets.


Molecules ◽  
2021 ◽  
Vol 26 (24) ◽  
pp. 7652
Author(s):  
Wei Sun ◽  
Yan Zhang ◽  
Zhigang Ju

Mycotoxins, the small size secondary metabolites of fungi, have posed a threat to the safety of medicine, food and public health. Therefore, it is essential to create sensitive and effective determination of mycotoxins. Based on the special affinity between antibody and antigen, immunoassay has been proved to be a powerful technology for the detection of small analytes. However, the tedious preparation and instability of conventional antibodies restrict its application on easy and fast mycotoxins detection. By virtue of simplicity, ease of use, and lower cost, phage display library provides novel choices for antibodies or hapten conjugates, and lead random peptide or recombinant antibody to becoming the promising and environmental friendly immune-reagents in the next generation of immunoassays. This review briefly describes the latest developments on mycotoxins detection using M13 phage display, mainly focusing on the recent applications of phage display technology employed in mycotoxins detection, including the introduction of phage and phage display, the types of phage displayed peptide/recombinant antibody library, random peptides/recombinant antibodies-based immunoassays, as well as simultaneous determination of multiple mycotoxins.


2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Keisuke Fukunaga ◽  
Masumi Taki

Phage display technology is undoubtedly a powerful tool for affinity selection of target-specific peptide. Commercially available premade phage libraries allow us to take screening in the easiest way. On the other hand, construction of a custom phage library seems to be inaccessible, because several practical tips are absent in instructions. This paper focuses on what should be born in mind for beginners using commercially available cloning kits (Ph.D. with type 3 vector and T7Select systems for M13 and T7 phage, respectively). In the M13 system, Pro or a basic amino acid (especially, Arg) should be avoided at the N-terminus of peptide fused to gp3. In both systems, peptides containing odd number(s) of Cys should be designed with caution. Also, DNA sequencing of a constructed library before biopanning is highly recommended for finding unexpected bias.


Author(s):  
Victor Alexandre Félix Bastos ◽  
Aline Gomes Souza ◽  
Patrícia Tieme Fujimura ◽  
Robinson Sabino Silva ◽  
Thulio Marquez Cunha ◽  
...  

2020 ◽  
Vol 26 (42) ◽  
pp. 7672-7693 ◽  
Author(s):  
Bifang He ◽  
Anthony Mackitz Dzisoo ◽  
Ratmir Derda ◽  
Jian Huang

Background: Phage display is a powerful and versatile technology for the identification of peptide ligands binding to multiple targets, which has been successfully employed in various fields, such as diagnostics and therapeutics, drug-delivery and material science. The integration of next generation sequencing technology with phage display makes this methodology more productive. With the widespread use of this technique and the fast accumulation of phage display data, databases for these data and computational methods have become an indispensable part in this community. This review aims to summarize and discuss recent progress in the development and application of computational methods in the field of phage display. Methods: We undertook a comprehensive search of bioinformatics resources and computational methods for phage display data via Google Scholar and PubMed. The methods and tools were further divided into different categories according to their uses. Results: We described seven special or relevant databases for phage display data, which provided an evidence-based source for phage display researchers to clean their biopanning results. These databases can identify and report possible target-unrelated peptides (TUPs), thereby excluding false-positive data from peptides obtained from phage display screening experiments. More than 20 computational methods for analyzing biopanning data were also reviewed. These methods were classified into computational methods for reporting TUPs, for predicting epitopes and for analyzing next generation phage display data. Conclusion: The current bioinformatics archives, methods and tools reviewed here have benefitted the biopanning community. To develop better or new computational tools, some promising directions are also discussed.


2001 ◽  
Vol 4 (7) ◽  
pp. 553-572 ◽  
Author(s):  
D. Rodi ◽  
G. Agoston ◽  
R. Manon ◽  
R. Lapcevich ◽  
S. Green ◽  
...  

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Harvinder Talwar ◽  
Samer Najeeb Hanoudi ◽  
Andreea Geamanu ◽  
Dana Kissner ◽  
Sorin Draghici ◽  
...  

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