Publications associées à Fragment-based lead discovery

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

Data-Driven Discovery of Organic Electronic Materials Enabled by Hybrid Top-Down/Bottom-Up Design

Rubén Laplaza Solanas, Anne-Clémence Corminboeuf, Sergio Vela Llausi, Jacob Terence Blaskovits

The high-throughput exploration and screening of molecules for organic electronics involves either a 'top-down' curation and mining of existing repositories, or a 'bottom-up' assembly of user-defined fragments based on known synthetic templates. Both are t ...

Wiley-V C H Verlag Gmbh2023

Nanomole-scale photochemical thiol-ene chemistry for high-throughput late-stage diversification of peptide macrocycles

Mischa Schüttel, Alexander Lund Nielsen, Mark Daniel Nolan

The photochemical thiol-ene reaction is an efficient method for rapid and chemoselective formation of thioether linkages under mild conditions. It has found widespread use in small-molecule synthesis as well as peptide and protein chemistry. While high-thr ...

WILEY2023

A multi-reservoir extruder for time-resolved serial protein crystallography and compound screening at X-ray free-electron lasers

Christoph Bostedt, Camila Bacellar Cases Da Silveira

Serial crystallography at X-ray free-electron lasers (XFELs) permits the determination of radiation-damage free static as well as time-resolved protein structures at room temperature. Efficient sample delivery is a key factor for such experiments. Here, we ...

Nature Portfolio2023

Artificial intelligence for natural product drug discovery

Philippe Schwaller, Florian Huber, Albert Hofstetter, Michael Alexander Skinnider

Developments in computational omics technologies have provided new means to access the hidden diversity of natural products, unearthing new potential for drug discovery. In parallel, artificial intelligence approaches such as machine learning have led to e ...

Nature Portfolio2023

Hierarchy of the Components in Spray-Dried, Protein-Excipient Particles Using DNP-Enhanced NMR Spectroscopy

David Lyndon Emsley, Pierrick Berruyer, Andrea Bertarello, Baptiste Busi

Protein-based drugs are becoming increasingly important, but there are challenges associated with their formulation (for example, formulating stable inhalable aerosols while maintaining the proper long-term stability of the protein). Determining the morpho ...

Amer Chemical Soc2023

Optimised three-dimensional in vitro retinoblastoma models tailored for drug discovery and clinical translatability

Irina Sinenko

Retinoblastoma, while relatively rare, stands as the most prevalent intraocular cancer. In Switzerland, the survival rate approaches 100%, but it drops to less than 50% in low-income countries. The current treatment options for retinoblastoma rely on a lim ...

EPFL2023

OSCAR: an extensive repository of chemically and functionally diverse organocatalysts

Rubén Laplaza Solanas, Anne-Clémence Corminboeuf, Puck Elisabeth van Gerwen, Alberto Fabrizio, Sergio Vela Llausi, Simone Gallarati

The automated construction of datasets has become increasingly relevant in computational chemistry. While transition-metal catalysis has greatly benefitted from bottom-up or top-down strategies for the curation of organometallic complexes libraries, the fi ...

ROYAL SOC CHEMISTRY2022

Finding a vocation for validation: taking proteomics beyond association and location

Yimon Aye, Jinmin Liu

First established in the seventies, proteomics, chemoproteomics, and most recently, spatial/proximity-proteomics technologies have empowered researchers with new capabilities to illuminate cellular communication networks that govern sophisticated decision- ...

ROYAL SOC CHEMISTRY2022

Go to the Board: A Journey through the Life of Professor David A. Evans

Yimon Aye

By taking a journey through the events that happened during Professor David A. Evans' lifetime in the context of chemical synthesis and drug discovery, this in-focus article reflects upon Professor Evans' lifelong scientific and padegogical impacts on the ...

AMER CHEMICAL SOC2022

Enantio- and diastereoselective construction of vicinal C(sp(3)) centres via nickel-catalysed hydroalkylation of alkenes

Xile Hu, Chao Fan, Srikrishna Bera

In drug discovery, the proportion of aliphatic carbons (C(sp(3))) and the presence of chiral carbons in organic molecules are positively correlated to their chance of clinical success. Although methods exist for the synthesis of chiral C(sp(3))-rich molecu ...

2022

Synthesis and direct assay of large macrocycle diversities by combinatorial late-stage modification at picomole scale

Gerardo Turcatti, Christian Heinis, Julien Bortoli Chapalay, Jonathan Patrice Vesin, Alessandro Angelini, Manuel Leonardo Merz, Sevan Mleh Habeshian, Mischa Schüttel, Ganesh Kumar Mothukuri, Gontran Sangouard, Cristina Diaz Perlas, Zsolt Bognár

Macrocycles have excellent potential as therapeutics due to their ability to bind challenging targets. However, generating macrocycles against new targets is hindered by a lack of large macrocycle libraries for high-throughput screening. To overcome this, ...

Nature Research2022

Streamlined Alkylation via Nickel-Hydride-Catalyzed Hydrocarbonation of Alkenes

Xile Hu, Chao Fan, Srikrishna Bera, Zhikun Zhang

Compounds rich in sp(3)-hybridized carbons are desirable in drug discovery. Nickel-catalyzed hydrocarbonation of alkenes is a potentially efficient method to synthesize these compounds. By using abundant, readily available, and stable alkenes as pro-nucleo ...

2022

A microfluidic Braille valve platform for on-demand production, combinatorial screening and sorting of chemically distinct droplets

Christoph Merten, Vida Vafaizadeh, Wenwei Ma

Droplet microfluidics is a powerful tool for a variety of biological applications including single-cell genetics, antibody discovery and directed evolution. All these applications make use of genetic libraries, illustrating the difficulty of generating che ...

NATURE PORTFOLIO2022

Design, prototyping, and thermo-mechanical modelling of a neutron spallation target impacted by high-energy proton-beam pulses in the n_TOF facility at CERN

Raffaele Esposito

This manuscript describes the design work and the R&D activities carried out for the third-generation neutron production target in the neutron Time-Of-Flight (n_TOF) facility at the European Laboratory for Particle Physics (CERN). The facility is composed ...

EPFL2022

NICEdrug.ch, a workflow for rational drug design and systems-level analysis of drug metabolism

Vassily Hatzimanikatis, Jasmin Maria Hafner, Homa Mohammadi Peyhani, Noushin Hadadi, Anush Chiappino-Pepe

The discovery of a drug requires over a decade of intensive research and financial investments – and still has a high risk of failure. To reduce this burden, we developed the NICEdrug.ch resource, which incorporates 250,000 bioactive molecules, and studied ...

2021

High-content, targeted RNA-seq screening in organoids for drug discovery in colorectal cancer

Maxim Norkin, Jörg Hülsken, Paloma Ordonez Moran

Organoids allow the recapitulation of intestinal homeostasis and cancerogenesis in vitro; however, RNA sequencing (RNA-seq)-based methods for drug screens are missing. We develop targeted organoid sequencing (TORNADO-seq), a high-throughput, high-content d ...

2021

Rethinking protein aggregation and drug discovery in neurodegenerative diseases: Why we need to embrace complexity?

Hilal Lashuel

More than a century has passed since pathological protein aggregates were first identified in the brains of patients with neurodegenerative diseases (NDDs). Yet, we still do not have effective therapies to treat or slow the progression of these devastating ...

2021

The role of metal ions in G protein-coupled receptor signalling and drug discovery

Horst Vogel, Shuguang Yuan, Xueying Wang

Metal ions, such as Na+, Mg2+, Ca2+, and Zn2+, are highly abundant in biological systems. For many G protein-coupled receptors (GPCRs), metal ions, especially Na+, have been found to stabilize the receptors' inactivate state preventing receptor activation. ...

WILEY2021

Miniaturized technologies for high-throughput drug screening enzymatic assays and diagnostics - A review

Paul Joseph Dyson, Sarah Alexandra Pais Pereira

Drug discovery is a complex, multistep process, in which many challenges need to be overcome at each stage, from the discovery of a biomolecular target to the ensuring of the efficacy and safety of a compound in humans. Today's analytical methods allow ten ...

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