Concept

Classical pharmacology

Related publications (33)

Artificial intelligence for natural product drug discovery

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

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 ...

Berlin2023

Generating macrocyclic inhibitors of protein-protein interactions

Gontran Sangouard

Protein-protein interactions (PPIs) play important roles in many diseases and their modulation is an attractive strategy for developing new therapeutics. However, the relatively large and often flat binding surfaces of PPIs makes the development of inhibit ...

EPFL2022

Methods for the generation of large combinatorial macrocycle libraries

Sevan Mleh Habeshian

Macrocycles are an attractive class of molecules due to their good binding properties and yet rather small size that allows, in many cases, crossing membranes to reach intracellular targets. In comparison to classical small molecule drugs, macrocycles are ...

EPFL2021

A novel cell-based sensor detecting the activity of individual basic proprotein convertases

Daniel Constam, Stefan Kunz

The basic proprotein convertases (PCs) furin, PC1/3, PC2, PC5/6, PACE4, PC4, and PC7 are promising drug targets for human diseases. However, developing selective inhibitors remains challenging due to overlapping substrate recognition motifs and limited str ...

WILEY2019

A microfluidic array for high-content screening at whole-organism resolution

Johan Auwerx, Martinus Gijs, Matteo Cornaglia, Laurent Mouchiroud, Daniel Migliozzi

A main step for the development and the validation of medical drugs is the screening on whole organisms, which gives the systemic information that is missing when using cellular models. Among the organisms of choice, Caenorhabditis elegans is a soil worm w ...

SPIE-INT SOC OPTICAL ENGINEERING2018

Fluorescent Benzothiazinone Analogues Efficiently and Selectively Label Dpre1 in Mycobacteria and Actinobacteria

Paul Joseph Dyson, Stewart Cole, John McKinney, Neeraj Dhar, Thierry Laroche, Jérémie Piton, Joao Pedro De Almeida Neres, Raphael Christopher Sommer, Raju Mukherjee

Benzothiazinones (BTZ) are highly potent bactericidal inhibitors of mycobacteria and the lead compound, BTZ043, and the optimized drug candidate, PBTZ169, have potential for the treatment of tuberculosis. Here, we exploited the tractability of the BTZ scaf ...

2018

Development of an albumin-binding ligand for prolonging the plasma half-life of peptide therapeutics

Alessandro Zorzi

Peptides represent a promising format for the development of therapeutics since they combine the advantages of proteins and small molecules. Several techniques based on rational design or in vitro evolution can be used to develop peptides as therapeutics. ...

EPFL2017

The Inosine Monophosphate Dehydrogenase, GuaB2, Is a Vulnerable New Bactericidal Drug Target for Tuberculosis

Stewart Cole, John McKinney, Neeraj Dhar, Claudia Sala, Ruben Hartkoorn, Anthony Vocat, Andréanne Lupien, Raphael Christopher Sommer

VCC234718, a molecule with growth inhibitory activity against Mycobacterium tuberculosis (Mtb), was identified by phenotypic screening of a 15344-compound library. Sequencing of a VCC234718-resistant mutant identified a Y487C substitution in the inosine mo ...

Amer Chemical Soc2017

Induction of de novo α-synuclein fibrillization in a neuronal model for Parkinson's disease

Hilal Lashuel, Bohumil Maco, Abid Oueslati, Mohamed Bilal Fares

Lewy bodies (LBs) are intraneuronal inclusions consisting primarily of fibrillized human α-synuclein (hα-Syn) protein, which represent the major pathological hallmark of Parkinson's disease (PD). Although doubling hα-Syn expression provokes LB pathology in ...

Natl Acad Sciences2016

Droplet-based microfluidics in drug discovery, transcriptomics and high-throughput molecular genetics

Christoph Merten

Droplet-based microfluidics enables assays to be carried out at very high throughput (up to thousands of samples per second) and enables researchers to work with very limited material, such as primary cells, patient's biopsies or expensive reagents. An add ...

2016

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