The increased incidence of bacterial resistance to available antibiotics represents a major
global health problem and highlights the need for novel anti-infective therapies …

With more than ten new FDA approvals since 2001, peptides are emerging as an important
therapeutic alternative to small molecules. However, unlike small molecules, peptides on the …

Control over the protein corona of nanomaterials allows them to function better. Here, by
taking graphene/gold as examples, we comprehensively assessed the association of …

Antimicrobial peptides (AMP) are a promising source of antibiotics with a broad spectrum
activity against bacteria and low incidence of develo** resistance. The mechanism by …

Abstract Development of potent and broad-spectrum antimicrobial peptides (AMPs) could
help overcome the antimicrobial resistance crisis. We develop a peptide language-based …

Intrinsic disorder refers to segments or to whole proteins that fail to self‐fold into fixed 3D
structure, with such disorder sometimes existing in the native state. Here we report data on …

An algorithm has been developed which identifies α-helices involved in the interactions of
membrane proteins with lipid bilayers and which distinguishes them from helices in soluble …

HELIQUEST calculates the physicochemical properties and amino acid composition of an α-
helix and screens databank to identify protein segments possessing similar features. This …

Cytosolic lipid droplets (LDs) are the main storage organelles for metabolic energy in most
cells. They are unusual organelles that are bounded by a phospholipid monolayer and …

We present a generative long short-term memory (LSTM) recurrent neural network (RNN) for
combinatorial de novo peptide design. RNN models capture patterns in sequential data and …