Q02243 AF NFT

Wound-induced protein (Fragment)

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiemg2ou3zpmumdrxliyoie7uobo46czuh53zbfdes7sa37vml3vp4/metadata.json
IPFS of structure file: 
bafybeifilc4ixfdptlysxb5u4nzgid3rnhtim5cn5hh7qullzm7hbfn6aa/AF-Q02243-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBABc9DC7023be831DDdB1D7F196c6336E7D131B7
First NFT owner address (bech32): 
genesis1h27fm3cz805rrhwmr4l3jmrrxmnazvdhz9rdlt
Current NFT ID #499867 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
499867
Accession (UniProt):
Q02243
Name::
Wound-induced protein (Fragment)
Experimental Method:
Predicted structure
Sequence source:
GLYCINE MAX

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 Q02243 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q02243|WIN_SOYBN Wound-induced protein (Fragment) OS=Glycine max OX=3847 GN=WIN PE=2 SV=1 KPYSWRSKYGWTAFCGPVGPRGRDSCGKCLRVTNTGTGANTIVRIVDQCSNGGLDLDVGVFNRIDTDGRGYQQGHLIVNYQFVDCGNELDLTKPLLSILDAP