Presentation Details
| Predicting Sensory Outcomes: Integrating Receptor Neurobiology with AI Tools Jessica H.Brann, Daniel A.Raps, Georgia M.Pierce, Giulia Papiani, Lily Wu, Randy Arroyave, Casey Trimmer, Patrick Pfister. dsm-firmenich, New York, NY, USA |
Abstract
Malodors such as moldy, earthy notes on fabrics present a persistent consumer challenge, and are often linked to the earthy compound geosmin. To address this, we developed an odorant receptor-based strategy targeting odorant receptors implicated in earthy perception. Bayesian predictive and random forest modeling were applied to predict receptor tonalities, enabling prioritization of several OR targets. OR11A1 emerged as a key contributor, supported by in vitro expression studies and prior findings associating OR11A1 activity with intensity and pleasantness ratings for the earthy compound 2-ethyl fenchol. We next screened a large set of compounds for their ability to modulate OR11A1 activity in the presence of geosmin, identifying several candidates for sensory evaluation. Building on these insights, selective inhibition of OR11A1 in the presence of geosmin significantly reduces perceived earthy intensity, validating receptor-level modulation as an effective approach. Understanding of OR11A1 activity and modulation was thus integrated into market fragrances designed to reduce moldy malodor perception, yielding positive results when evaluated in consumer tests. These findings highlight the impact of integrating computational modeling with receptor-targeted interventions to deliver meaningful and rational odor control solutions for everyday consumers.
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No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author.