Publications associées à Computational design of environmental sensors for the potent opioid fentanyl

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

De novo design of protein interactions with learned surface fingerprints

Henning Paul-Julius Stahlberg, Didier Trono, Priscilla Turelli, Charlène Mireille Raymonde Raclot, Sandrine Madeleine Suzanne Georgeon, Beat Fierz, Aaron Simone Petruzzella, Anthony Marchand, Bruno Emanuel Ferreira De Sousa Correia, Elisa Oricchio, Zander Harteveld, Pablo Gainza Cirauqui, Freyr Sverrisson, Andreas Scheck, Sarah Wehrle, Stéphane Rosset, Alexandra Krina Van Hall-Beauvais, Alexandra Teslenko, Jane Marsden, Michael Bronstein, Casper Alexander Goverde, Stephen Michael Buckley, Dongchun Ni, Martin Pacesa

Physical interactions between proteins are essential for most biological processes governing life. However, the molecular determinants of such interactions have been challenging to understand, even as genomic, proteomic and structural data increase. This k ...

2023

Computational design of novel protein–protein interactions – An overview on methodological approaches and applications

Anthony Marchand, Bruno Emanuel Ferreira De Sousa Correia, Alexandra Krina Van Hall-Beauvais

Protein–protein interactions (PPIs) govern numerous cellular functions in terms of signaling, transport, defense and many others. Designing novel PPIs poses a fundamental challenge to our understanding of molecular interactions. The capability to robustly ...

2022

Computational Studies of the Proton-Coupled Metal Ion Transport in the SLC11/NRAMP Family of Transporters

Maria Letizia Merlini

In the last years, it has been demonstrated a link between the overload of metal ions inside nervous system cells and the onset of severe neurodegenerative diseases. This prompted the investigation of the structural and functional properties of transporter ...

EPFL2022

Computational tools and resources for designing new pathways to small molecules

Vassily Hatzimanikatis, Anastasia Sveshnikova

The metabolic engineering community relies on computational methods for pathway design to produce important small molecules in microbial hosts. Metabolic network databases are continuously curated and updated with known and novel reactions that expand the ...

CURRENT BIOLOGY LTD2022

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

On the exploration of novel methodological approaches for immunogen design: case studies in influenza and hepatitis C

Andreas Scheck

Proteins are fundamental components in biological systems and crucial for a variety of biological functions. Over the last decades, significant progress in structural biology has facilitated the study of proteins and their interactions with molecular partn ...

EPFL2021

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

Functional de novo Protein Design for Targeted Vaccines and Synthetic Biology Applications

Che Yang

Evolution has created, selected and evolved large repertoires of proteins that operate in various biological systems. Nowadays biotechnological needs are coming up orders of magnitude faster than proteins naturally evolve. The emergence of de novo protein ...

EPFL2020

Advanced Computational Methods for NMR Crystallography

Albert Hofstetter

Knowledge of the atomic-level structure is key to understanding and predicting properties of materials. X-ray diffraction (XRD) is the methods of choice for structures containing well-defined long-range order. However, many materials contain various degree ...

EPFL2019

Reprogramming the B1 Domain of Streptococcal Protein G (GB1) : A Joint Theoretical and Experimental Investigation

Esra Bozkurt

Nature has the ability to cope with extreme pH, temperature and pressure, in addition to bestowing a wide array of functionalities to (bio)macromolecules. These specialized skills have attracted the interest of vast scientific communities especially in vie ...

EPFL2018

Computational Design of Deployable Auxetic Shells

Mark Pauly, Mina Konakovic Lukovic

We propose an interactive computational design method for deployable auxetic shells. We realize deployable auxetics as triangular linkages that can be actuated with simple expansive mechanisms to assume a desired freeform target shape. The core feature of ...

2018

DNA-BSA interaction, cytotoxicity and molecular docking of mononuclear zinc complexes with reductively cleaved N2S2 Schiff base ligands

Kurt Schenk, Farzaneh Fadaei Tirani

The synthesis of three potentially tetradentate, N2S2 Schiff-base-ligands, containing a disulfide bond, (LSSLThio)-S-Thio(L1), (LSSLBr)-S-Br(L2) and (LSSLDiMeO)-S-DiMeO (L3) are reported. These ligands undergo reductive disulfide bond scission upon reactio ...

ELSEVIER SCIENCE SA2018

Predicting polymorphism in molecular crystals using orientational entropy

Michele Parrinello, Pablo Miguel Piaggi

We introduce a computational method to discover polymorphs in molecular crystals at finite temperature. The method is based on reproducing the crystallization process starting from the liquid and letting the system discover the relevant polymorphs. This id ...

National Academy of Sciences2018

Synthesis and crystal structure of a chiral lactam and three amino alcohols as potential protein tyrosine phosphates 1B inhibitors

Rosario Scopelliti

Chiral lactam 2 and three chiral 3-amino alcohols 3-5 have been synthesized and characterized by Sspectroscopic techniques. Regioselective ring opening reaction of chiral styrene oxide by an amine nucle-ophile was confirmed by X-ray diffraction data. Ligan ...

Pergamon-Elsevier Science Ltd2017

Computational methods and modeling of cellular function for the optimization of protein production and the study of cellular disease states

Joana Raquel Pinto Vieira

Systems biology is a multidisciplinary field that weaves together all the basic sciences through the use of computational and bioinformatics tools, to provide a more integrative view of the complex molecular interactions taking place within and among cells ...

EPFL2017

Nitroarenes as Antitubercular Agents: Stereoelectronic Modulation to Mitigate Mutagenicity

Joao Pedro De Almeida Neres

Nitroarenes are less preferred in drug discovery due to their potential to be mutagenic. However, several nitroarenes were shown to be promising antitubercular agents with specific modes of action, namely, nitroimidazoles and benzothiazinones. The nitro gr ...

Wiley-V C H Verlag Gmbh2016

2-Carboxyquinoxalines Kill Mycobacterium tuberculosis through Noncovalent Inhibition of DprE1

Gaëlle Séraphine Kolly, Stewart Cole, Neeraj Dhar, Florence Pojer, Ruben Hartkoorn, Joao Pedro De Almeida Neres

Phenotypic screening of a quinoxaline library against replicating Mycobacterium tuberculosis led to the identification of lead compound Ty38c (3-((4-methoxybenzyl)amino)-6-(trifluoromethyl)quinoxaline-2-carboxylic acid). With an MIC99 and MBC of 3.1 mu M, ...

American Chemical Society2015

Antihypertensive drugs metabolism: an update to pharmacokinetic profiles and computational approaches

Ljubisa Miskovic, Vassily Hatzimanikatis, Aikaterini Zisaki

Drug discovery and development is a high-risk enterprise that requires significant investments in capital, time and scientific expertise. The studies of xenobiotic metabolism remain as one of the main topics in the research and development of drugs, cosmet ...

Bentham Science Publishers2015

Pyridomycin bridges the NADH- and substratebinding pockets of the enoyl reductase InhA

Stewart Cole, Florence Pojer, Ruben Hartkoorn, Joao Pedro De Almeida Neres

Pyridomycin, a natural product with potent antituberculosis activity, inhibits a major drug target, the InhA enoyl reductase. Here, we unveil the co-crystal structure and unique ability of pyridomycin to block both the NADH cofactor- and lipid substrate-bi ...

Nature Publishing Group2014