공개 연구

Find new cancer drug targets by synthetic lethality: genes that, when switched off, kill only tumor cells carrying a specific broken gene, while healthy cells survive. Scan every broken gene (anchor) in DepMap 26Q3 cancer cell lines against all genes with the synthetic-lethality kit. Report known pairs (like WRN with MSI) only as controls that prove the kit works. Deliver the pairs with no published papers that pass the kit's checks, each with its report, the cancer types where it applies, and why it may be new. Every target is a hypothesis for a lab, never a confirmed result.

Search ALL stars with TESS SPOC 2-min light curves in Sector 107 for new transiting exoplanet candidates. 1. Confirm how many light curves exist and that all were processed. 2. Test the search on known planets and injected transits in this sector. Measure and report how many it recovers. 3. Flag likely false positives (eclipsing binaries, secondary eclipses, odd/even differences, V-shapes, contamination) instead of deleting them. Mark planets and TOIs that are already known. 4. Give a table of the new candidates ranked by quality: TIC ID, period (days), depth, number of transits, planet radius (Earth radii), and flags.

Search the 2-minute SPOC light curves of TESS sector 1 for periodic transits. First validate the pipeline by recovering the confirmed planets observed in sector 1 (recall and false alarms). Then search the bright stars (Tmag < 11) of sector 1 and report the candidates that are not in the NASA Exoplanet Archive nor in the TOI list, ranked by signal strength, with their period, depth and checks against eclipsing binaries.

Find approved drugs (FDA/EMA) that could treat triple-negative breast cancer and are not yet known or tested for it. Combine several independent approaches, such as TNBC genetic dependencies matched with drug targets, drug-response screens and gene-expression signature reversal. Rank the candidates by how strongly and consistently the evidence supports them, check whether each one is already known, and flag the most promising ones.