Q5RAT2 AF NFT

Stanniocalcin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiceib5wi4ciwcmp5dvs2hf5ucygj3jelzigq2c6pq5h6ax552nwri/metadata.json
IPFS of structure file: 
bafybeicqbvb7l4as5fopifhfh34lcffnqybdritwo6hykospmnjqzpk4gm/AF-Q5RAT2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD5bf898F66688040Aa805A8ff7313dC69c1239Ca
First NFT owner address (bech32): 
genesis16klcnrmxdzqyp25qt28lwvfac6wpyww2prhrrv
Current NFT ID #439347 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
439347
Accession (UniProt):
Q5RAT2
Name::
Stanniocalcin-2
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5RAT2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5RAT2|STC2_PONAB Stanniocalcin-2 OS=Pongo abelii OX=9601 GN=STC2 PE=2 SV=1 MCAERLGQFMTLALVLATFDPARGTDATNPPEGPQDRSPQQKGRLSLQNTAEIQHCLVNAGDVGCGVFECFENNSSEIRGLHGICMTFLHNAGKFDAQGKSFIKDALKCKAHALRHRFGCISRKCPAIREMVFQLQRECYLKHDLCAAAQENTRVIVEMIHFKDLLLHEPYVDLVNLLLTCGEEVKEAITHSVQVQCEQNWGSLCSILSFCTSAIQRPPTAPPERQPQVDRTKLSRAHHGEAGHHLPEPSSRETGRGAKGERGSKSHPNAHARGRVGGLGAQGPSGSSEWEDEQSEYSDIRR