Presentation Type
Poster Presentation
Abstract
Cisplatin, cis-Pt(NH3)2Cl2, is one of the most successful anticancer drugs of all time. However, it has some negative aspects, including toxicity to healthy cells, side effects, and cost. Our goal in this project is to design metal-based anticancer drugs that would be less expensive, less toxic, and more efficient for cancer patients than cisplatin. To begin this research we calculated Euclidean distances - as used by computerized recognition systems - to compare the properties of colors within seasonal palettes that are proven and visible to the eye. These Euclidean distances were then used to create heat maps that allow for easy identification of similar and dissimilar colors. To further compare colors within palettes, we used 3-D plots of CIE color space coordinates collected by colorimetry. By refining and applying these same strategies to researching the quantifiable chemical properties of cisplatin, we can ultimately create chemospaces and dissimilarity plots to confidently and objectively identify which potential candidates would be the most promising.
Faculty Mentor
John Smith, Morgan Morris
Recommended Citation
Tanakura, Kiomi and Harvey, Elena G., "Exploration of Euclidean Distances in Five-Dimensional Color Space as Proof-of-Concept for Identification of Promising Alternatives to Platinum-Based Cancer Drug Candidates" (2025). Student Scholar Symposium. 114.
https://digitalcollections.lipscomb.edu/student_scholars_symposium/2025/Full_schedule/114
Exploration of Euclidean Distances in Five-Dimensional Color Space as Proof-of-Concept for Identification of Promising Alternatives to Platinum-Based Cancer Drug Candidates
Cisplatin, cis-Pt(NH3)2Cl2, is one of the most successful anticancer drugs of all time. However, it has some negative aspects, including toxicity to healthy cells, side effects, and cost. Our goal in this project is to design metal-based anticancer drugs that would be less expensive, less toxic, and more efficient for cancer patients than cisplatin. To begin this research we calculated Euclidean distances - as used by computerized recognition systems - to compare the properties of colors within seasonal palettes that are proven and visible to the eye. These Euclidean distances were then used to create heat maps that allow for easy identification of similar and dissimilar colors. To further compare colors within palettes, we used 3-D plots of CIE color space coordinates collected by colorimetry. By refining and applying these same strategies to researching the quantifiable chemical properties of cisplatin, we can ultimately create chemospaces and dissimilarity plots to confidently and objectively identify which potential candidates would be the most promising.