P31347 AF NFT

Angiogenin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibzcfjy6uch3zffykqblrl5je54ehsoyhtlgiuyqnxxdkbhoep4m4/metadata.json
IPFS of structure file: 
bafybeihgybylbcjyifgf3iy4p7e7ztgupbfxnpxu7g3h3nl7vexy7txyzi/AF-P31347-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf87a97E0A4bB354D834857B14296240B167cbe70
First NFT owner address (bech32): 
genesis1lpaf0c9yhv65mq6g27c5993ypvt8e0nsz8y8ua
Current NFT ID #16249 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
16249
Accession (UniProt):
P31347
Name::
Angiogenin
Experimental Method:
Predicted structure
Sequence source:
ORYCTOLAGUS CUNICULUS

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 P31347 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P31347|ANGI_RABIT Angiogenin OS=Oryctolagus cuniculus OX=9986 GN=ANG PE=1 SV=1 QDDSRYKHFLTQHYDAKPFGRNDRYCETMMKRRDLTSPCKDTNTFVHGNKGSIKDVCEDKNGKPYGKNFRISKSSFQVTTCKHVGGSPWPPCRYRATSGSRNIVIACENGLPVHFDESVFQQKVH