单克隆抗体大全》:人工智能、罕见疾病/障碍和免疫毒性效应

IF 0.5 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS Current Proteomics Pub Date : 2024-07-30 DOI:10.2174/0115701646313765240610062419
Sonakshi Garg, Gurisha Garg, Preeti Patel, Ghanshyam Das Gupta, Balak Das Kurmi
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引用次数: 0

摘要

:单克隆抗体(mAbs)是制药和医疗领域的神奇子弹。它们是通过杂交瘤技术、噬菌体展示技术、YAC 技术以及转基因动物和植物等各种方法生产出来的。根据动物来源的比例,mAbs 可分为嵌合型、鼠型、人源化和全人型。本综述涵盖 mAb 生产的历史和方法、与 mAb 相关的免疫毒性(免疫抑制、免疫刺激、自身免疫、超敏反应)以及 mAb 的靶点。它还汇编了使用人工智能生产的 mAb、新的修饰和新型 mAb,以及确保 mAb 用于罕见疾病和失调症的各种临床试验信息。
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A Complete Sojourn of Monoclonal Antibodies: AI, Rare Diseases / Disorders And Immunotoxic Effects
: Monoclonal antibodies (mAbs) are magic bullets proved to be a wonder in the pharmaceutical as well as medical fields. These are produced by various methods like hybridoma technology, phage display technology, YAC technology, and transgenic animals and plants. Based on the percentage of animal origin, mAbs are divided into chimeric, murine, humanized, and fully human. This review covers the history and methods of mAb production, immunotoxicity (Immunosuppression, immunostimulant, autoimmunity, hypersensitivity) associated with mAbs, and targets of mAbs. It also compiles mAb production using AI, new modifications, and novel mAbs, with its various clinical trial information ensuring the use of mAbs in rare diseases and disorders.
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来源期刊
Current Proteomics
Current Proteomics BIOCHEMICAL RESEARCH METHODS-BIOCHEMISTRY & MOLECULAR BIOLOGY
CiteScore
1.60
自引率
0.00%
发文量
25
审稿时长
>0 weeks
期刊介绍: Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed in-depth/mini review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteomics is an essential journal for everyone involved in proteomics and related fields in both academia and industry. Current Proteomics publishes in-depth/mini review articles in all aspects of the fast-expanding field of proteomics. All areas of proteomics are covered together with the methodology, software, databases, technological advances and applications of proteomics, including functional proteomics. Diverse technologies covered include but are not limited to: Protein separation and characterization techniques 2-D gel electrophoresis and image analysis Techniques for protein expression profiling including mass spectrometry-based methods and algorithms for correlative database searching Determination of co-translational and post- translational modification of proteins Protein/peptide microarrays Biomolecular interaction analysis Analysis of protein complexes Yeast two-hybrid projects Protein-protein interaction (protein interactome) pathways and cell signaling networks Systems biology Proteome informatics (bioinformatics) Knowledge integration and management tools High-throughput protein structural studies (using mass spectrometry, nuclear magnetic resonance and X-ray crystallography) High-throughput computational methods for protein 3-D structure as well as function determination Robotics, nanotechnology, and microfluidics.
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