Q9QWV9 AF NFT

Cyclin-T1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiasahbokggtewaic2jmudbik3gzkqiz3comrgwnkf3ufcqmhlgf6q/metadata.json
IPFS of structure file: 
bafybeiduoum5aeoojkmxskczlpq3kmr5dh3biokwtexyv7wuha7mmhktwa/AF-Q9QWV9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x12f41c9e42Ae94738EDbf0e38724b13726E509B6
First NFT owner address (bech32): 
genesis1zt6pe8jz46288rkm7r3cwf93xunw2zdksejjch
Current NFT ID #55498 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
55498
Accession (UniProt):
Q9QWV9
Name::
Cyclin-T1
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q9QWV9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9QWV9|CCNT1_MOUSE Cyclin-T1 OS=Mus musculus OX=10090 GN=Ccnt1 PE=1 SV=3 MEGERKNNNKRWYFTREQLENSPSRRFGVDSDKELSYRQQAANLLQDMGQRLNVSQLTINTAIVYMHRFYMIQSFTQFHRYSMAPAALFLAAKVEEQPKKLEHVIKVAHTCLHPQESLPDTRSEAYLQQVQDLVILESIILQTLGFELTIDHPHTHVVKCTQLVRASKDLAQTSYFMATNSLHLTTFSLQYTPPVVACVCIHLACKWSNWEIPVSTDGKHWWEYVDATVTLELLDELTHEFLQILEKTPSRLKRIRNWRAYQAAMKTKPDDRGADENTSEQTILNMISQTSSDTTIAGLMSMSTASTSAVPSLPSSEESSSSLTSVDMLQGERWLSSQPPFKLEAAQGHRTSESLALIGVDHSLQQDGSSAFGSQKQASKSVPSAKVSLKEYRAKHAEELAAQKRQLENMEANVKSQYAYAAQNLLSHDSHSSVILKMPIESSENPERPFLDKADKSALKMRLPVASGDKAVSSKPEEIKMRIKVHSAGDKHNSIEDSVTKSREHKEKQRTHPSNHHHHHNHHSHRHSHLQLPAGPVSKRPSDPKHSSQTSTLAHKTYSLSSTLSSSSSTRKRGPPEETGAAVFDHPAKIAKSTKSSLNFPFPPLPTMTQLPGHSSDTSGLPFSQPSCKTRVPHMKLDKGPPGANGHNATQSIDYQDTVNMLHSLLSAQGVQPTQAPAFEFVHSYGEYMNPRAGAISSRSGTTDKPRPPPLPSEPPPPLPPLPK