TechnicaldifficultiesFluorescencepolarizationFirstprinciplesParameterizedCakeDerivatesofCOMBSMachinelearning“Isn’t thatneat” -BillImpromptuperformancesChromaHigh-throughputBindingaffinityCirculardichroismSomeonegoes overthe timelimitEnergeticpenalty ofLeu to AlaBikingNew-to-natureYang askshow we canmakesomethingmore efficientDiscussionof structurepredictionmodelsSomeonefinisheswithin thetime limitSomeoneuploadsslides after9:15 AMEquilibrium“Freakingcool” -JoProteinfoldingDynamicvs staticLigandMPNNJablonskidiagramTechnicaldifficultiesFluorescencepolarizationFirstprinciplesParameterizedCakeDerivatesofCOMBSMachinelearning“Isn’t thatneat” -BillImpromptuperformancesChromaHigh-throughputBindingaffinityCirculardichroismSomeonegoes overthe timelimitEnergeticpenalty ofLeu to AlaBikingNew-to-natureYang askshow we canmakesomethingmore efficientDiscussionof structurepredictionmodelsSomeonefinisheswithin thetime limitSomeoneuploadsslides after9:15 AMEquilibrium“Freakingcool” -JoProteinfoldingDynamicvs staticLigandMPNNJablonskidiagram

Untitled Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Technical difficulties
  2. Fluorescence polarization
  3. First principles
  4. Parameterized
  5. Cake
  6. Derivates of COMBS
  7. Machine learning
  8. “Isn’t that neat” -Bill
  9. Impromptu performances
  10. Chroma
  11. High-throughput
  12. Binding affinity
  13. Circular dichroism
  14. Someone goes over the time limit
  15. Energetic penalty of Leu to Ala
  16. Biking
  17. New-to-nature
  18. Yang asks how we can make something more efficient
  19. Discussion of structure prediction models
  20. Someone finishes within the time limit
  21. Someone uploads slides after 9:15 AM
  22. Equilibrium
  23. “Freaking cool” -Jo
  24. Protein folding
  25. Dynamic vs static
  26. LigandMPNN
  27. Jablonski diagram