Q924A4 AF NFT

Urocortin-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigchvktxmrendsk5u3nisfspch34c4ple2cwbjag3pzk5pnthu5z4/metadata.json
IPFS of structure file: 
bafybeigsfs3hlt7t2fnahuubbzq3huamw3ltuggeq6yhzr2ri3dt6qy4da/AF-Q924A4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0802a4d42FE33Ea91364Adff0d1651923952Ab99
First NFT owner address (bech32): 
genesis1pqp2f4p0uvl2jymy4hls69j3jgu492uecmtdye
Current NFT ID #487390 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
487390
Accession (UniProt):
Q924A4
Name::
Urocortin-3
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 Q924A4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q924A4|UCN3_MOUSE Urocortin-3 OS=Mus musculus OX=10090 GN=Ucn3 PE=2 SV=1 MLMPTYFLLPLLLLLGGPRTSLSHKFYNTGPVFSCLNTALSEVKKNKLEDVPLLSKKSFGHLPTQDPSGEEDDNQTHLQIKRTFSGAAGGNGAGSTRYRYQSQAQHKGKLYPDKPKSDRGTKFTLSLDVPTNIMNILFNIDKAKNLRAKAAANAQLMAQIGKKK