scholarly journals In silico Epitope Mapping of Glucose-6-Phosphate Isomerase: A Rheumatoid Arthritis Autoantigen

2017 ◽  
Vol 10 (3) ◽  
Author(s):  
Opuni KFM ◽  
Solomon S ◽  
Metzen F ◽  
Frommholz D ◽  
Koy C ◽  
...  
2020 ◽  
Vol 24 ◽  
pp. 100396 ◽  
Author(s):  
Deeksha Kaloni ◽  
Debolina Chakraborty ◽  
Archana Tiwari ◽  
Sagarika Biswas

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Lenka Potocnakova ◽  
Mangesh Bhide ◽  
Lucia Borszekova Pulzova

Identification of B-cell epitopes is a fundamental step for development of epitope-based vaccines, therapeutic antibodies, and diagnostic tools. Epitope-based antibodies are currently the most promising class of biopharmaceuticals. In the last decade, in-depth in silico analysis and categorization of the experimentally identified epitopes stimulated development of algorithms for epitope prediction. Recently, various in silico tools are employed in attempts to predict B-cell epitopes based on sequence and/or structural data. The main objective of epitope identification is to replace an antigen in the immunization, antibody production, and serodiagnosis. The accurate identification of B-cell epitopes still presents major challenges for immunologists. Advances in B-cell epitope mapping and computational prediction have yielded molecular insights into the process of biorecognition and formation of antigen-antibody complex, which may help to localize B-cell epitopes more precisely. In this paper, we have comprehensively reviewed state-of-the-art experimental methods for B-cell epitope identification, existing databases for epitopes, and novel in silico resources and prediction tools available online. We have also elaborated new trends in the antibody-based epitope prediction. The aim of this review is to assist researchers in identification of B-cell epitopes.


PLoS ONE ◽  
2012 ◽  
Vol 7 (7) ◽  
pp. e41703 ◽  
Author(s):  
Masahiko Mori ◽  
Kei Matsuki ◽  
Tomoyuki Maekawa ◽  
Mari Tanaka ◽  
Busarawan Sriwanthana ◽  
...  

2020 ◽  
Vol 1 (1) ◽  
pp. 9-16
Author(s):  
Behzad Dehghani ◽  
Tayebeh Hashempour ◽  
Zahra Hasanshahi ◽  
Iraj Rasooli

Author(s):  
Junaida M. Ibrahim ◽  
Shanitha A. ◽  
Achuthsankar S. Nair ◽  
Oommen V. Oommen ◽  
Perumana R. Sudhakaran

2017 ◽  
Vol 16 (4) ◽  
pp. 4823-4828
Author(s):  
Li Wang ◽  
Hao-Jie Yang ◽  
Ran Tu ◽  
Min Shen ◽  
Dan Liu

Author(s):  
Feliciana Real-Fernández ◽  
Federico Pratesi ◽  
Paola Migliorini ◽  
Paolo Rovero

Jurnal Kimia ◽  
2019 ◽  
pp. 153
Author(s):  
G. A. K. Amarawati ◽  
N. M. P. Susanti ◽  
N. P. L. Laksmiani

Rheumatoid arthritis is an autoimmune disease that occur by inflammation chronic which persist as a permanent symptom. That inflammatory process caused joint destruction. Production of pro-inflammatory sytokin such as Tumor Necrosis Factor Alpha (TNF-?) stimulate an autoimmunity. Active TNF-? plays a role in the occurrence of chronic inflammation, in which the formation of active TNF-? is regulated by TNF-? Converting Enzyme (TACE). Brazilin and brazilein are known to have anti-inflammatory activity and immunommodulator potentially as anti-rheumatoid arthritis. The purpose of this study were to determine the affinity and mechanisms of brazilin and brazilein against TACE proteins as anti-rheumatoid arthritis perfomed using molecular docking method. The study was conducted exploratively with several steps such as databases preparation of 3D structures brazilin, brazilein, TACE protein, optimization of brazilin and brazilein 3D structures, protein preparation, molecular docking method validation, and docking brazilin and brazilein in these proteins. The docking results are assessed from the binding energy and hydrogen bonds formed between brazilin and brazilein in proteins. The smaller value to the binding energy, will made the bond between brazilin and brazilein with proteins will be stronger and more stable. The results showed that brazilin and brazilein have activities as anti-rheumatoid arthritis because they are able to inhibit TACE proteins with respective bond energy values -7,24 for brazilin and – 7,59 kcal/mol for brazilein. These results show that brazilin and brazilein have the potential to inhibit inflammatory process and joint destruction in rheumatoid arthritis. Keywords : brazilin, brazilein, in silico, rheumatoid arthritis


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