Visualizing chemical spaces streamlines the {analysis|evaluation} of molecular datasets by {reducing|decreasing|lowering|minimizing} the {information|info|details|data|facts|information and facts} to human perception level, {hence|therefore} it {forms|types} an integral piece of molecular engineering, {including|such as|which includes|like} chemical library {design|style|design and style}, high-throughput screening, diversity {analysis|evaluation}, and outlier detection. We present {here|right here} ChemPlot, which enables {users|customers} to visualize the chemical space of molecular datasets in {both|each} static and interactive {ways|methods|techniques|approaches|strategies}. ChemPlot {features|attributes|functions|characteristics|capabilities|options} structural and tailored similarity {methods|techniques|strategies|approaches|procedures|solutions}, {together|with each other|collectively} with {three|3} {different|various|distinct|diverse|unique|distinctive} dimensionality reduction {methods|techniques|strategies|approaches|procedures|solutions}: PCA, t-SNE, and UMAP. ChemPlot {is the|will be the|may be the|would be the|could be the|is definitely the} {first|initial|very first|1st|initially} visualization {software|software program|computer software|application} that tackles the activity/property cliff {problem|issue|difficulty|dilemma|challenge|trouble} by incorporating tailored similarity. With tailored similarity, the chemical space is constructed {in a|inside a|within a} supervised manner {considering|contemplating|thinking about|taking into consideration|thinking of} target properties. {Additionally|In addition|Furthermore|Moreover|Also|On top of that}, we propose a metric, the Distance {Property|Home|House} {Relationship|Partnership|Connection} score, to quantify the {property|home|house} {difference|distinction} of {similar|comparable|equivalent|related} (i.e. close) molecules {in the|within the|inside the} visualized chemical space. ChemPlot {can be|may be|could be|might be|is often|is usually} installed {via|by way of|through|by means of} Conda or PyPI (pip) {and a|along with a|as well as a|plus a|and also a|in addition to a} {web|internet|net} application is freely accessible at https://www.amdlab.nl/chemplot/. (DHQD)2AQN Chemical name 106-86-5 Data Sheet PMID:23671446
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