Toward a fractalomic idiotype/anti-idiotypic paradigm.
Bioinformation
; 18(9): 730-733, 2022.
Article
in English
| MEDLINE | ID: covidwho-2030276
ABSTRACT
The CoViD-19 pandemic has demonstrated the need for future developments in anti-viral immunology. We propose that artificial intelligence (AI) and machine learning, and in particular fractal analysis could play a crucial role in that context. Fractals - never-ending repeats of self-similar shapes whose composite tend to resemble the whole - are found in most natural biological structures including immunoglobulin and antigenic epitopes. Increased knowledge of the fractalomic properties of the idiotype/anti-idiotypic paradigm should help develop a novel and improved simplified artificial model of the immune system. Case in point, the regulation and dampening of antibodies as well as the synergetic recognition of an antigen by multiple idiotypes are both immune mechanisms that require further analysis. An enhanced understanding of these complexities could lead to better data analysis for novel vaccines to improve their sensitivity and specificity as well as open other new doors in the field of immunology.
Artificial Intelligence (AI); Complementarity-Determining Region (CDR); Corona Virus Disease 2019 (CoViD-19); Deep Learning (DL) Vaccinology; Fractal Analysis; Fractal Dimension (D); Idiotype, Immunoglobulin (Ig); Machine Learning (ML); Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV2); T Cell Receptor (TcR)
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Language:
English
Journal:
Bioinformation
Year:
2022
Document Type:
Article
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