The authors present an important multi-scale computational platform, which aims to automate the workflow for coarse-grained simulations of biomolecules in the framework of the popular MARTINI model.

Kansas mayor hit with criminal charges for allegedly voting as noncitizen in several elections Warren Buffett suggests all parents do one thing before they die, whether they have 'modest or staggering ...

Abstract: Geometry is a key factor in channel modeling for molecular communication (MC), especially when considering its potential for enabling intrabody networks and healthcare applications. Driven ...

Abstract: Molecular communication (MC) research is increasingly focused on applications within the human body, such as health monitoring and drug delivery, which require testing in realistic and ...

This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model that, using only information about the target protein, can design optimal drug ...

Molecular models are an invaluable learning aid for developing the representation literacy and visuospatial thinking skills needed for success in organic chemistry. Sadly, space-filling models are no ...

Genomic modeling and design have the potential to transform synthetic biology research. However, researchers face bottlenecks due to insufficient tools that fail to support a deep understanding of the ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Researchers present BioEmu – a new AI model that rapidly and accurately predicts the full range of shapes a protein can adopt, offering a faster, cheaper alternative to traditional molecular ...