Bradley L. Pentelute

This paper develops a high-throughput platform to discover arginine-depleted cell-penetrating peptides for improved antisense delivery in Duchenne muscular dystrophy, showing reduced toxicity and enhanced efficacy.

This study identifies residues critical for separating antimicrobial activity from membrane disruption in LL-37 by modulating its dimerization interface.

This paper develops carborane-NHS ester reagents for selective amine modification of biomolecules, demonstrating their use in conjugating antibodies with carboranes for boron neutron capture therapy.

This paper develops an in vivo method to covalently link peptide drugs to native IgGs, demonstrating sustained weight loss and glucose management with GLP-1.

This paper develops a protein-based delivery system for anti-CRISPR proteins to precisely control Cas9 activity, reducing off-target effects and improving genome editing specificity.

This study shows that helicity and membrane permeabilization are not universal requirements for cathelicidin-mediated killing of gram-negative bacteria, and identifies lead compounds with improved selectivity.

The paper demonstrates that adding an N-terminal biphenyl motif from LL-37 to short cathelicidin peptides significantly enhances their antibacterial activity against gram-negative bacteria.

The paper identifies LL-37 variants that kill gram-negative bacteria without membrane disruption and bacteria that are permeabilized without being killed, suggesting alternative mechanisms of antibacterial activity.

PSMtags enhance peptide detection and sequence identification in proteomics, enabling 9-plexDIA and significantly increasing sample throughput.

ATOMICA learns transferable representations of intermolecular interactions across diverse molecular types, enabling cross-modal comparisons and experimentally testable hypotheses.

This paper introduces a multimodal foundation model for predicting protein phenotypes using sequence, structure, and natural language, showing competitive performance and novel insights into disease-related proteins.

The paper introduces Therapeutics Commons (TDC-2), a resource integrating cell-type-specific biomarkers with machine learning tasks for drug discovery.

This paper develops a PNA-peptide conjugate targeting miRNA-21 in mouse tissues, showing improved cardiac delivery and inhibition compared to PNA alone.

This paper develops branched multimeric peptides that bind α-Klotho with high affinity and selectivity, enabling its detection and labeling in biological systems.

The paper synthesizes a 217 amino acid-long N-terminal domain of pyocin S2 using automated fast-flow peptide synthesis, achieving rapid production and selective uptake in Pseudomonas aeruginosa.

The paper designs a covalent peptide inhibitor, reactide, targeting the HPV16 E6-E6AP interaction to prevent p53 degradation.

Deep learning generates de novo large functional abiotic polymers that deliver antisense oligonucleotides to the nucleus.

This paper shows anthrax toxin can target and modulate pain by acting on nociceptive neurons through ANTXR2, with potential for new pain therapeutics.