AI Medical Compendium Journal:
Frontiers in bioinformatics

Showing 1 to 10 of 18 articles

Prediction of polyspecificity from antibody sequence data by machine learning.

Frontiers in bioinformatics
Antibodies are generated with great diversity in nature resulting in a set of molecules, each optimized to bind a specific target. Taking advantage of their diversity and specificity, antibodies make up for a large part of recently developed biologic...

A breast cancer-specific combinational QSAR model development using machine learning and deep learning approaches.

Frontiers in bioinformatics
Breast cancer is the most prevalent and heterogeneous form of cancer affecting women worldwide. Various therapeutic strategies are in practice based on the extent of disease spread, such as surgery, chemotherapy, radiotherapy, and immunotherapy. Comb...

BPAGS: a web application for bacteriocin prediction via feature evaluation using alternating decision tree, genetic algorithm, and linear support vector classifier.

Frontiers in bioinformatics
The use of bacteriocins has emerged as a propitious strategy in the development of new drugs to combat antibiotic resistance, given their ability to kill bacteria with both broad and narrow natural spectra. Hence, a compelling requirement arises for ...

No-boundary thinking for artificial intelligence in bioinformatics and education.

Frontiers in bioinformatics
No-boundary thinking enables the scientific community to reflect in a thoughtful manner and discover new opportunities, create innovative solutions, and break through barriers that might have otherwise constrained their progress. This concept encoura...

RCSB Protein Data Bank: visualizing groups of experimentally determined PDB structures alongside computed structure models of proteins.

Frontiers in bioinformatics
Recent advances in Artificial Intelligence and Machine Learning (., AlphaFold, RosettaFold, and ESMFold) enable prediction of three-dimensional (3D) protein structures from amino acid sequences alone at accuracies comparable to lower-resolution exper...

An algorithm for drug discovery based on deep learning with an example of developing a drug for the treatment of lung cancer.

Frontiers in bioinformatics
In this study, we present an algorithmic framework integrated within the created software platform tailored for the discovery of novel small-molecule anti-tumor agents. Our approach was exemplified in the context of combatting lung cancer. In the ini...

New Approach to Accelerated Image Annotation by Leveraging Virtual Reality and Cloud Computing.

Frontiers in bioinformatics
Three-dimensional imaging is at the core of medical imaging and is becoming a standard in biological research. As a result, there is an increasing need to visualize, analyze and interact with data in a natural three-dimensional context. By combining ...

Extending Association Rule Mining to Microbiome Pattern Analysis: Tools and Guidelines to Support Real Applications.

Frontiers in bioinformatics
Boosted by the exponential growth of microbiome-based studies, analyzing microbiome patterns is now a hot-topic, finding different fields of application. In particular, the use of machine learning techniques is increasing in microbiome studies, provi...

Integrated Cells and Collagen Fibers Spatial Image Analysis.

Frontiers in bioinformatics
Modern technologies designed for tissue structure visualization like brightfield microscopy, fluorescent microscopy, mass cytometry imaging (MCI) and mass spectrometry imaging (MSI) provide large amounts of quantitative and spatial information about ...

Development of a Machine Learning Classifier for Brain Tumors Diagnosis Based on DNA Methylation Profile.

Frontiers in bioinformatics
More than 150 types of brain tumors have been documented. Accurate diagnosis is important for making appropriate therapeutic decisions in treating the diseases. The goal of this study is to develop a DNA methylation profile-based classifier to accur...