Peptide-based supramolecular systems chemistry seeks to mimic the ability of life forms to
use conserved sets of building blocks and chemical reactions to achieve a bewildering array …

The age of cognitive computing and artificial intelligence (AI) is just dawning. Inspired by its
successes and promises, several AI ecosystems are blossoming, many of them within the …

Systematically identifying functional peptides is difficult owing to the vast combinatorial
space of peptide sequences. Here we report a machine-learning pipeline that mines the …

As antibiotic-resistant bacteria and genes continue to emerge, the identification of effective
alternatives to traditional antibiotics has become a pressing issue. Antimicrobial peptides …

By targeting invasive organisms, antibiotics insert themselves into the ancient struggle of the
host-pathogen evolutionary arms race. As pathogens evolve tactics for evading antibiotics …

Current research has demonstrated that small cationic amphipathic peptides have strong
potential not only as antimicrobials, but also as antibiofilm agents, immune modulators, and …

Antimicrobial peptides (AMPs), especially antibacterial peptides, have been widely
investigated as potential alternatives to antibiotic-based therapies. Indeed, naturally …

The technology of drug delivery systems (DDSs) has demonstrated an outstanding
performance and effectiveness in production of pharmaceuticals, as it is proved by many …

Despite the promise of deep learning accelerated protein engineering, examples of such
improved proteins are scarce. Here we report that a 3D convolutional neural network trained …

Machine learning (ML) consists of the recognition of patterns from training data and offers
the opportunity to exploit large structure–activity databases for drug design. In the area of …