P12027 AF NFT

Polysialoglycoprotein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiezlojnfmipbaaosknmdgmufosjuyz4a6akupvhwgyf6222b6ekqm/metadata.json
IPFS of structure file: 
bafybeie7lpvecx7tw3i4cu53bs7uv7xahrlty3n6fibi4j4rmm6gzwrbbu/AF-P12027-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x42e9263576E7016E0736d3e3f93ddd6E85E0D2Bd
First NFT owner address (bech32): 
genesis1gt5jvdtkuuqkupek603lj0wad6z7p54akftgw8
Current NFT ID #316848 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
316848
Accession (UniProt):
P12027
Name::
Polysialoglycoprotein
Experimental Method:
Predicted structure
Sequence source:
ONCORHYNCHUS MYKISS

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 P12027 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P12027|PSGP_ONCMY Polysialoglycoprotein OS=Oncorhynchus mykiss OX=8022 PE=1 SV=2 MIMGGVRELLLVVMTVGVVKVSCYPVGKSQKQDQVSLQRRLGELSSNDVSIVHALALLRSIGSDAKQAREEYLETNEVESQASPNHGSSPANDALSSEEKLRRVSSDDAATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDATSEAATGPSGDDAMDI