The Girke-chemoinformatics core will identify longevity-associated drugs and target proteins for the genetic and molecular findings (here multi-omics hits, MOH) discovered by the other projects and cores of the Longevity Consortium (LC). These associations will make efficient use of the large body of drug-target interaction data available in the public domain including high-quality annotations of existing drugs, high- throughput bioassays and gene expression data involving drug treatments.
Aim 1 will systematically assess which proteins associated with longevity MOH sets are perturbable by drugs given the data currently available in public reference databases.
Aim 2 will identify drugs inducing gene expression changes similar to those associated with healthy aging and longevity.
Aim 3 will incorporate protein family information to compensate for the lack of bioassay information for certain proteins of interest using bioactivity information available for closely related proteins within and across organisms.
Aim 4 will prioritize drug candidates by their level of experimental evidence, annotation and selectivity levels, as well as their potential to be useful for drug repurposing approaches or combinatorial strategies by modulating the activity of proteins in pathways of interest with several selective drugs or single drugs targeting multiple proteins.
Aim 5 will validate the effects of the identified drug candidates on longevity and healthy aging using the experimental screening program of the Miller-mice/cells project. Candidate drugs passing these validation tests will be further evaluated for downstream translational studies with LC and external advisory committee members. Moreover, longevity drug-target networks will be computed and interrogated in close collaboration with the Schork-disease context, Orwoll-proteomics, Fiehn-metabolomics and Perls-centenarian projects, and the Price-systems core.
Aim 6 will organize, integrate and share all analysis results and software developed by the LC with the public by developing the LC database (LCDB) portal. Analysis methods developed by the Girke-chemoinformatics core will be published as R packages on GitHub and Bioconductor. Preliminary and confidential data will remain in LCDB?s private domain, while all other data will be publicly available. In summary, the drug-target and drug-signature pairs identified by the Girke- chemoinformatics core will have the potential of providing novel leads for translational approaches advancing longevity research. If successful, they will enable innovative pharmacological strategies of developing drugs or food supplements for enhancing healthy aging and longevity in humans. Detailed proof of concept experiments have been performed, as well as an integrated pilot study together with the other project and core teams. The large number of positive results obtained from these experiments demonstrate the high likelihood of success of the approach.
| Brown, Abigail K; Webb, Ashley E (2018) Regulation of FOXO Factors in Mammalian Cells. Curr Top Dev Biol 127:165-192 |
| Zeng, Yi; Nie, Chao; Min, Junxia et al. (2018) Sex Differences in Genetic Associations With Longevity. JAMA Netw Open 1: |
| Schork, Nicholas J; Raghavachari, Nalini; Workshop Speakers and Participants (2018) Report: NIA workshop on translating genetic variants associated with longevity into drug targets. Geroscience 40:523-538 |
| Ding, Kuan-Fu; Finlay, Darren; Yin, Hongwei et al. (2018) Network Rewiring in Cancer: Applications to Melanoma Cell Lines and the Cancer Genome Atlas Patients. Front Genet 9:228 |
| Ding, Kuan-Fu; Petricoin, Emanuel F; Finlay, Darren et al. (2018) Nonlinear mixed effects dose response modeling in high throughput drug screens: application to melanoma cell line analysis. Oncotarget 9:5044-5057 |
| Sebastiani, Paola; Bae, Harold; Gurinovich, Anastasia et al. (2017) Limitations and risks of meta-analyses of longevity studies. Mech Ageing Dev 165:139-146 |
| Sebastiani, Paola; Thyagarajan, Bharat; Sun, Fangui et al. (2017) Biomarker signatures of aging. Aging Cell 16:329-338 |
| Schork, N J; Nazor, K (2017) Integrated Genomic Medicine: A Paradigm for Rare Diseases and Beyond. Adv Genet 97:81-113 |
| Peng, Qian; Schork, Nicholas J; Wilhelmsen, Kirk C et al. (2017) Whole genome sequence association and ancestry-informed polygenic profile of EEG alpha in a Native American population. Am J Med Genet B Neuropsychiatr Genet 174:435-450 |
| Sebastiani, Paola; Gurinovich, Anastasia; Bae, Harold et al. (2017) Four Genome-Wide Association Studies Identify New Extreme Longevity Variants. J Gerontol A Biol Sci Med Sci 72:1453-1464 |
Showing the most recent 10 out of 202 publications
