B7MPB4 AF NFT

3-(3-hydroxy-phenyl)propionate/3-hydroxycinnamic acid hydroxylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidxg6dnjulcndya4rrf33dlny67prepe4t7hoggg4c4x2l6xts2yi/metadata.json
IPFS of structure file: 
bafybeidrmsbflwkfxxxeits33jm6abf2k3ckj4wdwa5clxl4muafr7pffq/AF-B7MPB4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7EBA66f42a134ed5D9894Eb790da5698bF825Df0
First NFT owner address (bech32): 
genesis106axdap2zd8dtkvff6mepkjknzlcyh0szs3sdn
Current NFT ID #233533 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
233533
Accession (UniProt):
B7MPB4
Name::
3-(3-hydroxy-phenyl)propionate/3-hydroxycinnamic acid hydroxylase
Experimental Method:
Predicted structure
Sequence source:
Escherichia coli O81 (strain ED1a)

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 B7MPB4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7MPB4|MHPA_ECO81 3-(3-hydroxy-phenyl)propionate/3-hydroxycinnamic acid hydroxylase OS=Escherichia coli O81 (strain ED1a) OX=585397 GN=mhpA PE=3 SV=1 MAIQHPDIQPAVNHSVQVAIAGAGPVGLMMANYLGQMGIDVLVVEKLDKLIDYPRAIGIDDEALRTMQSVGLVDNVLPHTTPWHAMRFLTPKGRCFADIQPMTDEFGWPRRNAFIQPQVDAVMLEGLSRFPNVRCLFSRELEAFSQQDDEVTVHLKTAEGQREIVKAQWLVACDGGASFVRRTLNVPFEGKTAPNQWIVVDIANDPLSTPHIYLCCDPVRPYVSAALPHAVRRFEFMVMPGETEEQLREPQNMRKLLSKVLPNPDNVELIRQRVYTHNARLAQRFRIDRVLLAGDAAHIMPVWQGQGYNSGMRDAFNLAWKLALVIQGKARDALLDTYQQERRDHAKAMIDLSVTAGNVLAPPKRWQGTLRDGVSWLLNYLPPVKRYFLEMRFKPMPQYYGGALVREGEAKHSPVGKMFIQPKVTLENGDVTLLDNAIGANFAVIGWGCNPLWGMSDEQIQQWRALGTRFIQVVPEVQIHTAQDNHDGVLRVGDTQGRLRSWFAQHNASLVVMRPDRFVAATAIPQTLGKTLNKLASVMTLTRPDADVSVEKVA