Multidisciplinary Preclinical Investigations on Three Oxamniquine Analogues as New Drug Candidates for Schistosomiasis

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Alpha-Synuclein oligomerization and aggregation: All models are useful but only if we know what they model This is the reply to a comment "Alpha-synuclein oligomerization and aggregation: A model will always be a model" on the original article "Monitoring alpha-synuclein oligomerization and aggregation using bimolecular fluorescence complementation assays: What you see is not always what you get". The articles are accompanied by a Preface "How good are cellular models?"

Hilal Lashuel

Alpha-synuclein oligomerization is one of the early events on the pathway to Lewy body formation. Therefore, interfering with this process holds tremendous potential for developing therapies that block alpha-Syn pathology formation and toxicity. The develo ...

Wiley-Blackwell2021

An Oculus to Profile and Probe Target Engagement In Vivo: How T-REX Was Born and Its Evolution into G-REX

Yimon Aye, Chloé Rogg

Here we provide a personal account of innovation and design principles underpinning a method to interrogate precision electrophile signaling that has come to be known as "REX technologies". This Account is framed in the context of trying to improve methods ...

American Chemical Society2021

Spearheading future omics analyses using dyngen, a multi-modal simulator of single cells

Wouter Jozef L Saelens

We present dyngen, a multi-modal simulation engine for studying dynamic cellular processes at single-cell resolution. dyngen is more flexible than current single-cell simulation engines, and allows better method development and benchmarking, thereby stimul ...

Nature Research2021

Chiral Alkyl Amine Synthesis via Catalytic Enantioselective Hydroalkylation of Enecarbamates

Xile Hu, Srikrishna Bera, Deyun Qian

Chiral alkyl amines are omnipresent as bioactive molecules and synthetic intermediates. The catalytic and enantioselective synthesis of alkyl amines from readily accessible precursors is challenging. Here we develop a nickel-catalyzed hydroalkylation metho ...

AMER CHEMICAL SOC2021

Self-learning surrogate models in superstructure optimization

François Maréchal, Ivan Daniel Kantor, Julia Granacher, Michel Lopez

In this contribution, we propose an algorithm for replacing non-linear process simulation integrated in multi-level optimization of an energy system superstructure with surrogate models. With our approach, we demonstrate that surrogate models are a valid t ...

Elsevier2021

Algorithms and flowchart for the design of synthetic biochemical networks

Homa Mohammadi Peyhani

New drugs are needed to assure effective therapies for previously untreated diseases, emerging diseases, and personalized medicine, but the process of drug development is complex, costly, and time-consuming. This is especially problematic considering that ...

EPFL2020

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

Paul Joseph Dyson

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 ...

ELSEVIER SCI LTD2020

Computational characterisation of the selectivity and binding mode of mono- and binuclear transition metal based anticancer compounds

Thibaud Edouard Alistair von Erlach

The rising resistance and the severe side effects associated with classical anticancer drugs such as cisplatin or mercaptopurines has triggered the development of novel antitumourous agents based on transition metal (e.g. ruthenium, osmium, and gold) organ ...

EPFL2020

Atomistic modeling of the solid-liquid interface of metals and alloys

Edoardo Baldi

Solidification is a phase transformation of utmost importance in material science, for it largely controls materials' microstructure on which a wide range of mechanical properties depends. Almost every human artifact undergoes a transformation that leads t ...

EPFL2020

Targeting the oncogenic signaling of the transcription factor STAT3 with potent and selective monobody inhibitors

Grégory La Sala

Many targeted cancer therapies fail to improve the overall survival of patients. Limitations involve low drug selectivity and the rapid development of resistance. Moreover, the majority of oncogenic drivers presently remain considered as undruggable as th ...

EPFL2020

Experimental and Computational Study on Motor Control and Recovery After Stroke: Toward a Constructive Loop Between Experimental and Virtual Embodied Neuroscience

Auke Ijspeert, Silvestro Micera, Marc-Oliver Gewaltig, Emanuele Formento, Shravan Tata Ramalingasetty

Being able to replicate real experiments with computational simulations is a unique opportunity to refine and validate models with experimental data and redesign the experiments based on simulations. However, since it is technically demanding to model all ...

FRONTIERS MEDIA SA2020

Enhancing the Signaling of GPCRs via Orthosteric Ions

Horst Arthur Vogel, Shuguang Yuan

G protein-coupled receptors play essential roles in cellular processes such as neuronal signaling, vision, olfaction, tasting, and metabolism. As GPCRs are the most important drug targets, understanding their interactions with ligands is of utmost importan ...

AMER CHEMICAL SOC2020