Antibody–Biopolymer Conjugates in Oncology: A Review

Chavda, Vivek P.; Balar, Pankti C.; Teli, Divya M.; Davidson, Majid; Bojarska, Joanna; Apostolopoulos, Vasso

doi:10.3390/molecules28062605

Cited by 15 publications

(5 citation statements)

References 48 publications

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“…391 Natural polymers such as chitosan have been widely exploited to prepare antibody-biopolymer conjugates in oncology due to their outstanding biocompatible and biodegradable characteristics. 392 Meanwhile, polymers can also be covalently or noncovalently attached with antibodies to facilitate intracellular or targeted delivery. More information can be found in section 4.3.3, and is thus not specified herein.…”

Section: Conjugation Methodsmentioning

confidence: 99%

“…Among them, polyglycerol displayed better biocompatibility and less toxicity when compared to PEG . Natural polymers such as chitosan have been widely exploited to prepare antibody-biopolymer conjugates in oncology due to their outstanding biocompatible and biodegradable characteristics . Meanwhile, polymers can also be covalently or noncovalently attached with antibodies to facilitate intracellular or targeted delivery.…”

Section: How Are Antibodies Used?mentioning

confidence: 99%

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The Dawn of a New Era: Targeting the “Undruggables” with Antibody-Based Therapeutics

et al. 2023

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The high selectivity and affinity of antibodies toward their antigens have made them a highly valuable tool in disease therapy, diagnosis, and basic research. A plethora of chemical and genetic approaches have been devised to make antibodies accessible to more “undruggable” targets and equipped with new functions of illustrating or regulating biological processes more precisely. In this Review, in addition to introducing how naked antibodies and various antibody conjugates (such as antibody-drug conjugates, antibody-oligonucleotide conjugates, antibody-enzyme conjugates, etc.) work in therapeutic applications, special attention has been paid to how chemistry tools have helped to optimize the therapeutic outcome (i.e., with enhanced efficacy and reduced side effects) or facilitate the multifunctionalization of antibodies, with a focus on emerging fields such as targeted protein degradation, real-time live-cell imaging, catalytic labeling or decaging with spatiotemporal control as well as the engagement of antibodies inside cells. With advances in modern chemistry and biotechnology, well-designed antibodies and their derivatives via size miniaturization or multifunctionalization together with efficient delivery systems have emerged, which have gradually improved our understanding of important biological processes and paved the way to pursue novel targets for potential treatments of various diseases.

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Section: Conjugation Methodsmentioning

confidence: 99%

Section: How Are Antibodies Used?mentioning

confidence: 99%

The Dawn of a New Era: Targeting the “Undruggables” with Antibody-Based Therapeutics

et al. 2023

View full text Add to dashboard Cite

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“…AI helps create newer proteins, peptides, nucleic acid biologics and immunotherapeutics [ 144 , 145 , 146 , 147 , 148 , 149 , 150 , 151 , 152 ]. AI algorithms could help to build proteins and peptides with desired features [ 153 , 154 , 155 , 156 , 157 ]. AI models may produce therapeutic sequences with better stability, binding affinity, or immunogenicity by analyzing massive volumes of protein structure and function data.…”

Section: Ai For Drug Deliverymentioning

confidence: 99%

Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design

Vora,

Gholap,

Jetha

et al. 2023

Pharmaceutics

Self Cite

233

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Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic knowledge and provides expedited solutions to complex challenges. Remarkable advancements in AI technology and machine learning present a transformative opportunity in the drug discovery, formulation, and testing of pharmaceutical dosage forms. By utilizing AI algorithms that analyze extensive biological data, including genomics and proteomics, researchers can identify disease-associated targets and predict their interactions with potential drug candidates. This enables a more efficient and targeted approach to drug discovery, thereby increasing the likelihood of successful drug approvals. Furthermore, AI can contribute to reducing development costs by optimizing research and development processes. Machine learning algorithms assist in experimental design and can predict the pharmacokinetics and toxicity of drug candidates. This capability enables the prioritization and optimization of lead compounds, reducing the need for extensive and costly animal testing. Personalized medicine approaches can be facilitated through AI algorithms that analyze real-world patient data, leading to more effective treatment outcomes and improved patient adherence. This comprehensive review explores the wide-ranging applications of AI in drug discovery, drug delivery dosage form designs, process optimization, testing, and pharmacokinetics/pharmacodynamics (PK/PD) studies. This review provides an overview of various AI-based approaches utilized in pharmaceutical technology, highlighting their benefits and drawbacks. Nevertheless, the continued investment in and exploration of AI in the pharmaceutical industry offer exciting prospects for enhancing drug development processes and patient care.

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“…They consist of a basic structure composed of four polypeptide chains: two identical heavy chains and two identical light chains with their typical "Y" shape [100,101]. Antibodies are biological molecules, derived from animals, that have gained importance in pathogen-biomarker detection methods, due to their high specificity and in vivo uniqueness [102], designing monoclonal antibodies to precisely target antigens or receptors [103]. An antibody-based biosensor was presented by Majid et al ( 2019) [104].…”

Section: Antibody Applicationsmentioning

confidence: 99%

Emerging Applications of Nanobiosensors in Pathogen Detection in Water and Food

Valenzuela-Amaro,

Aguayo-Acosta,

Meléndez-Sánchez

et al. 2023

Biosensors

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Food and waterborne illnesses are still a major concern in health and food safety areas. Every year, almost 0.42 million and 2.2 million deaths related to food and waterborne illness are reported worldwide, respectively. In foodborne pathogens, bacteria such as Salmonella, Shiga-toxin producer Escherichia coli, Campylobacter, and Listeria monocytogenes are considered to be high-concern pathogens. High-concern waterborne pathogens are Vibrio cholerae, leptospirosis, Schistosoma mansoni, and Schistosima japonicum, among others. Despite the major efforts of food and water quality control to monitor the presence of these pathogens of concern in these kinds of sources, foodborne and waterborne illness occurrence is still high globally. For these reasons, the development of novel and faster pathogen-detection methods applicable to real-time surveillance strategies are required. Methods based on biosensor devices have emerged as novel tools for faster detection of food and water pathogens, in contrast to traditional methods that are usually time-consuming and are unsuitable for large-scale monitoring. Biosensor devices can be summarized as devices that use biochemical reactions with a biorecognition section (isolated enzymes, antibodies, tissues, genetic materials, or aptamers) to detect pathogens. In most cases, biosensors are based on the correlation of electrical, thermal, or optical signals in the presence of pathogen biomarkers. The application of nano and molecular technologies allows the identification of pathogens in a faster and high-sensibility manner, at extremely low-pathogen concentrations. In fact, the integration of gold, silver, iron, and magnetic nanoparticles (NP) in biosensors has demonstrated an improvement in their detection functionality. The present review summarizes the principal application of nanomaterials and biosensor-based devices for the detection of pathogens in food and water samples. Additionally, it highlights the improvement of biosensor devices through nanomaterials. Nanomaterials offer unique advantages for pathogen detection. The nanoscale and high specific surface area allows for more effective interaction with pathogenic agents, enhancing the sensitivity and selectivity of the biosensors. Finally, biosensors’ capability to functionalize with specific molecules such as antibodies or nucleic acids facilitates the specific detection of the target pathogens.

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Antibody–Biopolymer Conjugates in Oncology: A Review

Cited by 15 publications

References 48 publications

The Dawn of a New Era: Targeting the “Undruggables” with Antibody-Based Therapeutics

The Dawn of a New Era: Targeting the “Undruggables” with Antibody-Based Therapeutics

Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design

Emerging Applications of Nanobiosensors in Pathogen Detection in Water and Food

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