O35112 CD166 antigen MolNFT, Molecular NFT on GenesisL1

CD166 antigen

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihctewjd5oldeujdgss7u2tpf6fzbwbotpahvpezhh55urwgvrdry/metadata.json

IPFS of structure file:

bafybeicgac6u2wuo5xygev6bevr7wbh2vdi7llxhyex6fs7vt3czgqtelq/AF-O35112-F1-model_v2.pdb

First NFT owner address (eip-55):

0x7E5c3EaFBe57e0f5ca262933de7bF09ece2DD9b6

First NFT owner address (bech32):

genesis10ewrata72ls0tj3x9yeau7lsnm8zmkdklanymz

Current NFT ID #56098 owner (web3):

0xbe76286E675B2761093E18e8e83091B43cd8ACCf

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
56098
Accession (UniProt):
O35112
Name::
CD166 antigen
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 O35112 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O35112|CD166_RAT CD166 antigen OS=Rattus norvegicus OX=10116 GN=Alcam PE=1 SV=1 MASKGSPSCRLVFCLLISAAVLRPGLGWYTVNSAYGDTIVMPCRLDVPQNLMFGKWKYEKPDGSPVFIAFRSSTKKSVQYDDVPEYKDRLSLSENYTLSINNAKISDEKRFVCMLVTEDNVFEAPTLVKVFKQPSKPEIVNRAAFLETEQLKKLGDCISRDSYPDGNITWYRNGKVLQPVDGEVSILFKKEIDPGTQLYTMTSSLEYKTTKSDIQMPFTCSVTYYGPSGQKTIYSEQAIFDIYYPTEQVTIQVLPPKNAIKEGDNITLQCLGNGNPPPEEFMFYLPGQAEGIRSSNTYTLTDVRRNATGDYKCSLIDQRNMAASTTITVHYLDLSLNPSGEVTKQIGDTLPVSCTISASRNATVVWMKDNIRLRSSPSFSSLHYQDAGNYVCETALQEVEGLKKRESLTLIVEGKPQIKMTKKTDPSGLSKTIICHVEGFPKPAIQWTITGSGSVINQTEESPYINGRYYSKIIISPEENVTLTCTAENQLERTVNSLNVSAISIPEHDEADDISDENREKVNDQAKLIVGIVVGLLLAALVAGVVYWLYMKKSKTASKHVNKDLGNMEENKKLEENNHKTEA

O35112 AF NFT

MOLNFT AF v1

NFT data

MOLNFT O35112 research and analysis (ICN3D with VR)

FASTA sequences

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