Literature DB >> 29116516

Screening Phage-Display Antibody Libraries Using Protein Arrays.

Ricardo Jara-Acevedo1, Paula Díez2,3, María González-González2,3, Rosa María Dégano3, Nieves Ibarrola3, Rafael Góngora2, Alberto Orfao2, Manuel Fuentes4,5.   

Abstract

Phage-display technology constitutes a powerful tool for the generation of specific antibodies against a predefined antigen. The main advantages of phage-display technology in comparison to conventional hybridoma-based techniques are: (1) rapid generation time and (2) antibody selection against an unlimited number of molecules (biological or not). However, the main bottleneck with phage-display technology is the validation strategies employed to confirm the greatest number of antibody fragments. The development of new high-throughput (HT) techniques has helped overcome this great limitation. Here, we describe a new method based on an array technology that allows the deposition of hundreds to thousands of phages by micro-contact on a unique nitrocellulose surface. This setup comes in combination with bioinformatic approaches that enables simultaneous affinity screening in a HT format of antibody-displaying phages.

Entities:  

Keywords:  Antibodies; Array; High-throughput screening; Phage display; scFv

Mesh:

Substances:

Year:  2018        PMID: 29116516     DOI: 10.1007/978-1-4939-7447-4_20

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  PVPred-SCM: Improved Prediction and Analysis of Phage Virion Proteins Using a Scoring Card Method.

Authors:  Phasit Charoenkwan; Sakawrat Kanthawong; Nalini Schaduangrat; Janchai Yana; Watshara Shoombuatong
Journal:  Cells       Date:  2020-02-03       Impact factor: 6.600

2.  SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins.

Authors:  Saeed Ahmad; Phasit Charoenkwan; Julian M W Quinn; Mohammad Ali Moni; Md Mehedi Hasan; Pietro Lio'; Watshara Shoombuatong
Journal:  Sci Rep       Date:  2022-03-08       Impact factor: 4.379

3.  Ensemble Learning-Based Feature Selection for Phage Protein Prediction.

Authors:  Songbo Liu; Chengmin Cui; Huipeng Chen; Tong Liu
Journal:  Front Microbiol       Date:  2022-07-15       Impact factor: 6.064

4.  PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine.

Authors:  Balachandran Manavalan; Tae H Shin; Gwang Lee
Journal:  Front Microbiol       Date:  2018-03-16       Impact factor: 5.640

5.  Expression, Purification, and Characterization of Anti-Zika virus Envelope Protein: Polyclonal and Chicken-Derived Single Chain Variable Fragment Antibodies.

Authors:  Pharaoh Fellow Mwale; Chi-Hsin Lee; Liang-Tzung Lin; Sy-Jye Leu; Yun-Ju Huang; Liao-Chun Chiang; Yan-Chiao Mao; Yi-Yuan Yang
Journal:  Int J Mol Sci       Date:  2020-01-13       Impact factor: 5.923

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.