Q9YHV4 AF NFT

Follistatin-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifk4zgs24xz73o6glkzrisbkqizznvwdpxysgylk4edz7jbmzmcwy/metadata.json
IPFS of structure file: 
bafybeigvtodxwjzqvydk7s7se275mmiythr2gxpc3cswms442nmvkmhz4i/AF-Q9YHV4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4C6cC497db548513D38efeF679421142B9f900F6
First NFT owner address (bech32): 
genesis1f3kvf97m2jz385uwlmm8jss3g2uljq8k026rea
Current NFT ID #136594 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
136594
Accession (UniProt):
Q9YHV4
Name::
Follistatin-A
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q9YHV4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9YHV4|FSTA_DANRE Follistatin-A OS=Danio rerio OX=7955 GN=fsta PE=2 SV=2 MLRMLKRQQLHPGMILLLFWLCYLIEDQKVQAGNCWLQQGKNGRCQVLYMPGMSREECCRSGRLGTSWTEEDVPNSTLFRWMIFNGGAPNCIPCKETCDNVDCGPGKRCKMNRRSKPRCVCAPDCSNVTWKGPVCGSDGKTYRDECALLKSKCKGHPDLEVQYQGKCKKTCRDVLCPGSSTCVVDQTNNAYCVTCNRICPEVMSPDQYLCGNDGIVYASACHLRRATCLLGRSIGVAYEGKCIKAKSCDDIHCSAGKKCLWDAKMSRGRCAVCAESCPESRSEEAVCASDNTTYPSECAMKQAACSLGVLLEVKHSGSCNCK