Paleoproteomics, the study of ancient proteins, is a rapidly growing field at the intersection of
molecular biology, paleontology, archaeology, paleoecology, and history. Paleoproteomics …

Abstract Machine and deep learning approaches can leverage the increasingly available
massive datasets of protein sequences, structures, and mutational effects to predict variants …

The facts that many proteins with crucial biological functions do not have unique structures
and that many biological processes are compartmentalized into the liquid-like biomolecular …

Mass spectrometry imaging (MSI) has become increasingly utilized in the analysis of
biological molecules. MSI grants the ability to spatially map thousands of molecules within …

Background Muskoxen are important ecosystem components and provide food, economic
opportunities, and cultural well-being for Indigenous communities in the Canadian Arctic …

Protein complexes are vital to many biological processes and their understanding can lead
to the development of new drugs and therapies. Although the structure of individual protein …

This paper presents ExplainableFold (xFold), which is an Explainable AI framework for
protein structure prediction. Despite the success of AI-based methods such as AlphaFold …

Deep learning models are seeing increased use as methods to predict mutational effects or
allowed mutations in proteins. The models commonly used for these purposes include large …

Iron oxide nanoparticles (IONPs) have been extensively explored in biomedicine, bio-
sensing, hyperthermia, and drug/gene delivery, attributed to their versatile and tunable …

The present investigation illustrates the in silico structure based drug design method to
identify the target bacterial proteins of diallyl thiosulfinate (allicin) and its inhibitory mode of …