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New methods for developing (bi)cyclic peptides by phage display

Related publications (29)

Engineering novel protein interactions with therapeutic potential using deep learning-guided surface design

Proteins are foundational biomolecules of life playing a crucial role in a myriad of biological processes. Their function often requires interplay with other biomolecules, including proteins themselves. Protein-protein interactions (PPIs) are essential for ...

EPFL2024

Antibodies expand the scope of angiotensin receptor pharmacology

Patrick Daniel Barth, Shuhao Zhang

G-protein-coupled receptors (GPCRs) are key regulators of human physiology and are the targets of many small-molecule research compounds and therapeutic drugs. While most of these ligands bind to their target GPCR with high affinity, selectivity is often l ...

2024

Large Libraries of Structurally Diverse Macrocycles Suitable for Membrane Permeation

Christian Heinis, Xinjian Ji, Anne Sofie Luise Zarda, Alessandro Angelini, Alexander Lund Nielsen, Manuel Leonardo Merz, Ganesh Kumar Mothukuri, Mischa Schüttel, Zsolt Bognár, Edward Jeffrey Will

Macrocycles offer an attractive format for drug development due to their good binding properties and potential to cross cell membranes. To efficiently identify macrocyclic ligands for new targets, methods for the synthesis and screening of large combinator ...

Wiley-VCH Verlag GmbH2024

Augmenting large language models with chemistry tools

Philippe Schwaller, Oliver Tobias Schilter, Andres Camilo Marulanda Bran, Carlo Baldassari

Large language models (LLMs) have shown strong performance in tasks across domains but struggle with chemistry-related problems. These models also lack access to external knowledge sources, limiting their usefulness in scientific applications. We introduce ...

Nature Portfolio2024

How Reproducible is the Synthesis of Zr-Porphyrin Metal-Organic Frameworks? An Interlaboratory Study

Wendy Lee Queen, Jocelyn Richard Roth, Rawan Al Natour

Metal-organic frameworks (MOFs) are a rapidly growing class of materials that offer great promise in various applications. However, the synthesis remains challenging: for example, a range of crystal structures can often be accessed from the same building b ...

Wiley-V C H Verlag Gmbh2024

Bactericidal effect of tetracycline in E. coli strain ED1a may be associated with ribosome dysfunction

Camille Véronique Bernadette Goemans, Christian Eugen Zimmerli, Martin Beck

Ribosomes translate the genetic code into proteins. Recent technical advances have facilitated in situ structural analyses of ribosome functional states inside eukaryotic cells and the minimal bacterium Mycoplasma. However, such analyses of Gram-negative b ...

Nature Research2024

Hypervalent Iodine: New Reagents and Functionalization of Peptides

Eliott Hugo Joran Le Du

Alkynes are found in a multitude of natural or synthetic bioactive compounds. In addition to the capacity of these chemical motifs to impact the physicochemical properties of a molecule of interest, the well-established reactivity of alkynes makes them ide ...

EPFL2023

The role of the NF-kappaB pathway in Amyotrophic lateral sclerosis pathogenesis

Emma Charlotta Källstig

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative motor disorder, which results in death within a few years of diagnosis. While the cause of most cases of ALS is unknown, 10% of cases are familial (fALS), and associated with mutations in one of ov ...

EPFL2023

Optimised set of oligonucleotides for bulk rna barcoding and sequencing

Bart Deplancke, Vincent Roland Julien Gardeux, Riccardo Dainese, Daniel Alpern

The present invention relates generally to the field of nucleic acid sequencing and provides oligonucleotide molecules and barcodes contained therein. These oligonucleotide molecules and barcodes molecules are useful in sequencing to identify and resolve e ...

2023

Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics

Hamed Khakzad

Author summaryIn recent years, the application of deep learning represented a breakthrough in the mass spectrometry (MS) field by improving the assignment of the correct sequence of amino acids from observable MS spectra without prior knowledge, also known ...

PUBLIC LIBRARY SCIENCE2023