Cédric Bouysset
A5036297733- Biochemical Analysis and Sensing Techniques
- Olfactory and Sensory Function Studies
- Advanced Chemical Sensor Technologies
- Neurobiology and Insect Physiology Research
- Receptor Mechanisms and Signaling
- Computational Drug Discovery Methods
- Insect and Pesticide Research
- Insect Utilization and Effects
- Protein Structure and Dynamics
- Insect Pheromone Research and Control
- Machine Learning in Materials Science
- Constraint Satisfaction and Optimization
- Chemical Synthesis and Analysis
- Scientific Computing and Data Management
- Insect behavior and control techniques
- Cancer, Stress, Anesthesia, and Immune Response
- Photodynamic Therapy Research Studies
- RNA and protein synthesis mechanisms
- Insect-Plant Interactions and Control
- Mass Spectrometry Techniques and Applications
- Cell Image Analysis Techniques
- Biomedical Text Mining and Ontologies
- Click Chemistry and Applications
- Various Chemistry Research Topics
Université de Strasbourg
2023
Institut de Chimie de Strasbourg
2023
Centre National de la Recherche Scientifique
2019-2023
Université Côte d'Azur
2019-2022
Institut de Chimie de Nice
2019-2022
Korea Food Research Institute
2021
Institut de Biologie Valrose
2020
Exscien (United States)
2019
Abstract Recent anecdotal and scientific reports have provided evidence of a link between COVID-19 chemosensory impairments, such as anosmia. However, these downplayed or failed to distinguish potential effects on taste, ignored chemesthesis, generally lacked quantitative measurements. Here, we report the development, implementation, initial results multilingual, international questionnaire assess self-reported quantity quality perception in 3 distinct modalities (smell, chemesthesis) before...
Abstract Interaction fingerprints are vector representations that summarize the three-dimensional nature of interactions in molecular complexes, typically formed between a protein and ligand. This kind encoding has found many applications drug-discovery projects, from structure-based virtual-screening to machine-learning. Here, we present ProLIF, Python library designed generate interaction for complexes extracted dynamics trajectories, experimental structures, docking simulations. It can...
Abstract In a preregistered, cross-sectional study, we investigated whether olfactory loss is reliable predictor of COVID-19 using crowdsourced questionnaire in 23 languages to assess symptoms individuals self-reporting recent respiratory illness. We quantified changes chemosensory abilities during the course illness 0–100 visual analog scales (VAS) for participants reporting positive (C19+; n = 4148) or negative (C19−; 546) laboratory test outcome. Logistic regression models identified...
Divalent and trivalent salts exhibit a complex taste profile. They are perceived as being astringent/drying, sour, bitter, metallic. We hypothesized that human bitter-taste receptors may mediate some attributes of these salts. Using cell-based functional assay, we found TAS2R7 responds to broad range divalent salts, including zinc, calcium, magnesium, copper, manganese, aluminum, but not potassium, suggesting act metal cation receptor mediating bitterness Molecular modeling mutagenesis...
COVID-19 has heterogeneous manifestations, though one of the most common symptoms is a sudden loss smell (anosmia or hyposmia). We investigated whether olfactory reliable predictor COVID-19. This preregistered, cross-sectional study used crowdsourced questionnaire in 23 languages to assess individuals self-reporting recent respiratory illness. quantified changes chemosensory abilities during course illness using 0-100 visual analog scales (VAS) for participants reporting positive (C19+;...
Abstract Recent anecdotal and scientific reports have provided evidence of a link between COVID-19 chemosensory impairments such as anosmia. However, these downplayed or failed to distinguish potential effects on taste, ignored chemesthesis, generally lacked quantitative measurements, were mostly restricted data from single countries. Here, we report the development, implementation initial results multi-lingual, international questionnaire assess self-reported quantity quality perception in...
The concept of reverse chemical ecology (exploitation molecular knowledge for ecology) has recently emerged in conservation biology and human health. Here, we extend this to crop protection. Targeting odorant receptors from a pest insect, the noctuid moth Spodoptera littoralis, demonstrate that potential accelerate discovery novel insect attractants repellents. Using machine learning, first predicted natural ligands two receptors, SlitOR24 25. Then, electrophysiological validation proved...
The accurate prediction of protein-ligand binding affinities is a fundamental problem for the rational design new drug entities. Current computational approaches are either too expensive or inaccurate to be effectively used in virtual high-throughput screening campaigns. In addition, most sophisticated methods, e.g., those based on configurational sampling by molecular dynamics, require significant pre- and postprocessing provide final ranking, which hinders straightforward applications...
Abstract Odorant receptors expressed at the peripheral olfactory organs are key proteins for animal volatile sensing. Although they determine odor space of a given species, their functional characterization is long process and remains limited. To date, machine learning virtual screening has been used to predict new ligands such in both mammals insects, using chemical features known ligands. In approach yet limited Diptera, whereas insect odorant be highly divergent between orders. Here, we...
The field of protein-ligand pose prediction has seen significant advances in recent years, with machine learning-based methods now being commonly used lieu classical docking or even to predict all-atom complex structures. Most contemporary studies focus on the accuracy and physical plausibility ligand placement determine quality, often neglecting a direct assessment interactions observed protein. In this work, we demonstrate that ignoring interaction fingerprints can lead overestimation...
Abstract Bitter taste receptors (TAS2Rs) are a poorly understood subgroup of G protein-coupled (GPCRs). The experimental structure these has yet to be determined, and key-residues controlling their function remain mostly unknown. We designed an integrative approach improve comparative modeling TAS2Rs. Using current knowledge on class A GPCRs existing data in the literature as constraints, we pinpointed conserved motifs entirely re-align amino-acid sequences constructed accurate homology...