B1IVT5 AF NFT

3-phenylpropionate/cinnamic acid dioxygenase ferredoxin--NAD(+) reductase component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicy4i4bfofumaqlajtkiq6ytnauuvlt4zeiwa645m2fcgsysfpkq4/metadata.json
IPFS of structure file: 
bafybeihw7qsqdrf63izelr2aitlryd5iloyzz6ti3dfkx767i5dspof6te/AF-B1IVT5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD0337f9F0cD31B3005Bb291FE81bE29BE87fe0F8
First NFT owner address (bech32): 
genesis16qehl8cv6vdnqpdm9y07sxlzn058lc8c908pyd
Current NFT ID #165449 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
165449
Accession (UniProt):
B1IVT5
Name::
3-phenylpropionate/cinnamic acid dioxygenase ferredoxin--NAD(+) reductase component
Experimental Method:
Predicted structure
Sequence source:
Escherichia coli (strain ATCC 8739 / DSM 1576 / NBRC 3972 / NCIMB 8545 / WDCM 00012 / Crooks)

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 B1IVT5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1IVT5|HCAD_ECOLC 3-phenylpropionate/cinnamic acid dioxygenase ferredoxin--NAD(+) reductase component OS=Escherichia coli (strain ATCC 8739 / DSM 1576 / NBRC 3972 / NCIMB 8545 / WDCM 00012 / Crooks) OX=481805 GN=hcaD PE=3 SV=1 MKEKTIIIVGGGQAAAMAAASLRQQGFTGELHLFSDERHLPYERPPLSKSMLLEDSPQLQQVLPANWWQENNVHLHSGVTIKTLGRDTRELVLTNGESWHWDQLFIATGAAARPLPLLDALGERCFTLRHAGDAARLREVLQPERSVVIIGAGTIGLELAASATQRRCKVTVIELAATVMGRNAPPPVQRYLLQRHQQAGVRILLNNAIEHVVDGEKVELTLQSGETLQADVVIYGIGISANEQLAREANLDTANGIVIDEACRTCDPAIFAGGDVAITRLDNGALHRCESWENANNQAQIAAAAMLGLPLPLLPPPWFWSDQYSDNLQFIGDMRGDDWLCRGNPETQKAIWFNLQNGVLIGAVTLNQGREIRPIRKWIQSGKTFDAKLLIDENIALKSL