Affiliation:
1. Institute for Computer Science and Control (SZTAKI) Hungarian Research Network (HUN‐REN) Budapest 1111 Hungary
2. Department of Applied Analysis and Computational Mathematics Eötvös Loránd University (ELTE) Pázmány Péter sétány 1/C Budapest 1117 Hungary
3. AgeCurve Limited Cambridge CB21SD UK
Abstract
AbstractAging has strong genetic components and the list of genes that may regulate the aging process is collected in the GenAge database. There may be characteristic patterns in the amino acid sequences of aging‐related proteins that distinguish them from other proteins and this information will lead to a better understanding of the aging process. To test this hypothesis, human protein sequences are extracted from the UniProt database and the relative frequency of every amino acid residue in aging‐related proteins and the remaining proteins is calculated. The main observation is that the mean relative frequency of aspartic acid (D) is consistently higher, while the mean relative frequencies of tryptophan (W) and leucine (L) are consistently lower in aging‐related proteins compared to the non‐aging‐related proteins for the human and four examined model organisms. It is also observed that the mean relative frequency of aspartic acid is higher, while the mean relative frequency of tryptophan is lower in pro‐longevity proteins compared to anti‐longevity proteins in model organisms. Finally, it is found that aging‐related proteins tend to be longer than non‐aging‐related proteins. It is hoped that this analysis initiates further computational and experimental research to explore the underlying mechanisms of these findings.