Odorants are {typically|usually|normally|generally|commonly|ordinarily} classified by specially {trained|educated} {individuals|people|folks|men and women} {using|utilizing|making use of|employing|working with|applying} subjective verbal scent descriptors. Herein, we {used|utilized|employed|utilised|applied|made use of} {natural|all-natural|organic} language processing to {develop|create} standardized semantic profiles of mono-molecular odorants. {We have|We’ve|We’ve got} (i) curated and integrated scent perception {data|information} for mono-molecular odorants from {4|four} {online|on-line|on the internet|on the web|on the net|on line} sources; (ii) represented verbal scent descriptors {used|utilized|employed|utilised|applied|made use of} in these sources as vectors in semantic space; (iii) calculated {average|typical} semantic distances {between|in between|among|amongst|involving} vectors representing {each|every|each and every|every single} mono-molecular odorant and {each|every|each and every|every single} {of the|from the|in the|on the|with the|of your} vectors {for a|to get a|for any} set of 27 {standard|regular|normal|common|typical} verbal scent descriptors to yield 27-dimensional harmonized odorant semantic profile; and (iv) applied dimensionality reduction {techniques|methods|strategies|tactics|approaches|procedures} to these harmonized profiles, to visualize clustering of odorants with {similar|comparable|equivalent|related} semantic profiles. This novel uniform representation of odorants {can be|may be|could be|might be|is often|is usually} employed to transform any subjective verbal description of any odorants into standardized semantic profiles {that can|that may|that will|that could|which will|which can} facilitate automated classification, structure-odor {relationship|partnership|connection} {studies|research}, and {design|style|design and style} of odorants {with the|using the|with all the|together with the} {desired|preferred} scent. 197632-76-1 site Val-Cit-PAB-MMAE Order PMID:35345980
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