Application of Computational Techniques in Antibody Fc-Fused Molecule Design for Therapeutics.

Mol Biotechnol

Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Minden, Penang, Malaysia.

Published: April 2024

Since the advent of hybridoma technology in the year 1975, it took a decade to witness the first approved monoclonal antibody Orthoclone OKT39 (muromonab-CD3) in the year 1986. Since then, continuous strides have been made to engineer antibodies for specific desired effects. The engineering efforts were not confined to only the variable domains of the antibody but also included the fragment crystallizable (Fc) region that influences the immune response and serum half-life. Engineering of the Fc fragment would have a profound effect on the therapeutic dose, antibody-dependent cell-mediated cytotoxicity as well as antibody-dependent cellular phagocytosis. The integration of computational techniques into antibody engineering designs has allowed for the generation of testable hypotheses and guided the rational antibody design framework prior to further experimental evaluations. In this article, we discuss the recent works in the Fc-fused molecule design that involves computational techniques. We also summarize the usefulness of in silico techniques to aid Fc-fused molecule design and analysis for the therapeutics application.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s12033-023-00885-xDOI Listing

Publication Analysis

Top Keywords

computational techniques
12
fc-fused molecule
12
molecule design
12
techniques antibody
8
antibody
5
application computational
4
techniques
4
antibody fc-fused
4
design
4
design therapeutics
4

Similar Publications

Background: The TaRget Enablement to Accelerate Therapy Development of Alzheimer's Disease (TREAT-AD) Centers are dedicated to identifying and validating targets from the NIH Accelerating Medicines Partnership for Alzheimer's Disease (AMP-AD). The centers develop Target Enabling Packages (TEPs) to explore new therapeutic target hypotheses, moving beyond the traditional focus on amyloid or tau pathologies. In accordance with open science principles, data, methods, and tools are freely shared with the research community via an open-access platform, the AD Knowledge Portal.

View Article and Find Full Text PDF

Background: The prohibitive costs of drug development for Alzheimer's Disease (AD) emphasize the need for alternative in silico drug repositioning strategies. Graph learning algorithms, capable of learning intrinsic features from complex network structures, can leverage existing databases of biological interactions to improve predictions in drug efficacy. We developed a novel machine learning framework, the PreSiBOGNN, that integrates muti-modal information to predict cognitive improvement at the subject level for precision medicine in AD.

View Article and Find Full Text PDF

Background: Prior research shows that caregiving for people living with dementia (PLWD) varies with cultural, institutional, and social structural context, but less is known about the role of context in dementias of different etiologies. We compared experiences of caregiving in frontal-temporal dementia (FTD) versus non-FTD dementias using community-based comparative ethnography. We expected to find differences in caring for people living with FTD (PLWFTD) versus people living with other dementias (PLWOD).

View Article and Find Full Text PDF

Dementia Care Research and Psychosocial Factors.

Alzheimers Dement

December 2024

Siemens Heathineers, Princeton, NJ, USA.

Background: The recent breakthrough in monoclonal antibody treatment for Alzheimer's disease (AD) has ushered in a new phase in AD healthcare. However, associated amyloid-related imaging abnormalities (ARIA) present a significant risk to patients, necessitating careful monitoring. Detection by radiologists can be challenging and may suffer from inconsistency.

View Article and Find Full Text PDF

Background: Repetitive transcranial magnetic stimulation enhances cognition in people with mild cognitive impairment (MCI). Whereas conventional treatment requires daily sessions for 4-6 weeks, accelerated intermittent theta burst stimulation (iTBS) shortens the treatment course to just 3 days, substantially improving feasibility of use in people with MCI. We conducted a Phase I safety and feasibility trial of iTBS in MCI, finding preliminary evidence of cognitive improvement.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!