AIMC Topic: Antibodies
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Infliximab trough levels and persistent vs transient antibodies measured early after induction predict long-term clinical remission in patients with inflammatory bowel disease.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Nov 27, 2017
BACKGROUND: The use of therapeutic drug monitoring has been proposed as a useful tool in the management of patients with loss of response to biological therapy in patients with inflammatory bowel disease.
Dual-responsive electrochemical immunosensor for detection of insulin based on dual-functional zinc silicate spheres-palladium nanoparticles.
Talanta
Nov 21, 2017
In this study, described an electrochemical immunoassay for insulin that is based on the use of zinc silicate spheres loaded with palladium nanoparticles (ZnSiO-PdNPs) that act as dual-function labels. The ZnSiO-PdNPs display high electrocatalytic ac...
Manipulation of Biomolecule-Modified Liquid-Metal Blobs.
Angewandte Chemie (International ed. in English)
Oct 2, 2017
Soft and deformable liquid metals (LMs) are building components in various systems related to uncertain and dynamic task environments. Herein we describe the development of a biomolecule-triggered external-manipulation method involving LM conjugates ...
Surface Adsorbed Antibody Characterization Using ToF-SIMS with Principal Component Analysis and Artificial Neural Networks.
Langmuir : the ACS journal of surfaces and colloids
Aug 19, 2016
Artificial neural networks (ANNs) form a class of powerful multivariate analysis techniques, yet their routine use in the surface analysis community is limited. Principal component analysis (PCA) is more commonly employed to reduce the dimensionality...
Recent advances in antibody optimization based on deep learning methods.
Journal of Zhejiang University. Science. B
May 28, 2025
Antibodies currently comprise the predominant treatment modality for a variety of diseases; therefore, optimizing their properties rapidly and efficiently is an indispensable step in antibody-based drug development. Inspired by the great success of a...
AbSet: A Standardized Data Set of Antibody Structures for Machine Learning Applications.
Journal of chemical information and modeling
May 26, 2025
Machine learning algorithms have played a fundamental role in the development of therapeutic antibodies by being trained on data sets of sequences and/or structures. However, structural data sets remain limited, especially those that include antibody...
Accelerating antibody discovery and optimization with high-throughput experimentation and machine learning.
Journal of biomedical science
May 9, 2025
The integration of high-throughput experimentation and machine learning is transforming data-driven antibody engineering, revolutionizing the discovery and optimization of antibody therapeutics. These approaches employ extensive datasets comprising a...
MVSF-AB: accurate antibody-antigen binding affinity prediction via multi-view sequence feature learning.
Bioinformatics (Oxford, England)
May 6, 2025
MOTIVATION: Predicting the binding affinity between antigens and antibodies accurately is crucial for assessing therapeutic antibody effectiveness and enhancing antibody engineering and vaccine design. Traditional machine learning methods have been w...
RLEAAI: improving antibody-antigen interaction prediction using protein language model and sequence order information.
Briefings in bioinformatics
May 1, 2025
Antibody-antigen interactions (AAIs) are a pervasive phenomenon in the natural and are instrumental in the design of antibody-based drugs. Despite the emergence of various deep learning-based methods aimed at enhancing the accuracy of AAIs prediction...
AI-augmented physics-based docking for antibody-antigen complex prediction.
Bioinformatics (Oxford, England)
Mar 29, 2025
MOTIVATION: Predicting the structure of antibody-antigen complexes is a challenging task with significant implications for the design of better antibody therapeutics. However, the levels of success have remained dauntingly low, particularly when high...
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