Q76BS1 AF NFT

Hepatocyte growth factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidfnr4k2ycb7vhvql2ydzmjuavsal2sapjt52z7smd47o7uneurfq/metadata.json
IPFS of structure file: 
bafybeihm6llbnb6plkml4s2crscayj6nwpjk3sabbo2bnpod25at2r6fyq/AF-Q76BS1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3aC9742557B5a280CCBE5c6e54942967FB5201eD
First NFT owner address (bech32): 
genesis18tyhgf2hkk3gpn97t3h9f9pfvla4yq0d3xuj9h
Current NFT ID #169249 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
169249
Accession (UniProt):
Q76BS1
Name::
Hepatocyte growth factor
Experimental Method:
Predicted structure
Sequence source:
BOS TAURUS

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 Q76BS1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q76BS1|HGF_BOVIN Hepatocyte growth factor OS=Bos taurus OX=9913 GN=HGF PE=2 SV=1 MWVTRLLPVLLLQHVLLHLLLLPIAIPYAEGQKKRRNTLHEFKRSAKTTLIKEDPLLKIKTKKMNTADQCANRCIRNKGLPFTCKAFVFDKARKRCLWFPFNSMSSGVKKEFGHEFDLYENKDYIRNCIIGKGGSYKGTVSITKSGIKCQPWNSMIPHEHSFLPSSYRGKDLQENYCRNPRGEEGGPWCFTSNPEVRYEVCDIPQCSEVECMTCNGESYRGPMDHTETGKICQRWDHQTPHRHKFLPERYPDKGFDDNYCRNPDGKPRPWCYTLDPDTPWEYCAIKMCAHSTMNDTDLPMQTTECIQGQGEGYRGTINTIWNGIPCQRWDSQYPHQHDITPENFKCKDLRENYCRNPDGAESPWCFTTDPNIRVGYCSQIPKCDVSSGQDCYRGNGKNYMGSLSKTRSGLTCSMWDKNMEDLHRHIFWEPDATKLNKNYCRNPDDDAHGPWCYTGNPLIPWDYCPISRCEGDTTPTIVNLDHPVISCAKTKQLRVVNGIPTRTNVGWMVSLKYRNKHICGGSLIKESWILTARQCFPSRNKDLKDYEAWLGIHDVHGRGDEKRKQVLNVTQLVYGPEGSDLVLLKLARPAILDDFVSTIDLPNYGCTIPEKTTCSVYGWGYTGLINSDGLLRVAHLYIMGNEKCSQYHQGKVTLNESEICAGAENIVSGPCEGDYGGPLVCEQHKMRMVLGVIVPGRGCAIPNRPGIFVRVAYYAKWIHKIILTYKAPQL