O51413 AF NFT

UvrABC system protein C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibwn47t6dxyb2ueavcij4gr7fjytfo7af2rew4b5esp6c25d6by7e/metadata.json
IPFS of structure file: 
bafybeiayxgcfzzypopmvjs36zxkc4h7u2vuesaxzscqfxp2soqd2oz7nym/AF-O51413-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #493626 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
493626
Accession (UniProt):
O51413
Name::
UvrABC system protein C
Experimental Method:
Predicted structure
Sequence source:
Borreliella burgdorferi (strain ATCC 35210 / DSM 4680 / CIP 102532 / B31)

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 O51413 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O51413|UVRC_BORBU UvrABC system protein C OS=Borreliella burgdorferi (strain ATCC 35210 / DSM 4680 / CIP 102532 / B31) OX=224326 GN=uvrC PE=3 SV=1 MKENLTNLFEKVIKLPTTSGCYKMLNENKKILYIGKAKNLRSRVKSYFLEKNSHKIKILMKNVKSIEVITTNSEYEALLLECNLIKTHKPDYNVKLKDGKGYPMVRITHEKYPRIFKTRKIINDKSEYFGPFTNVKKLDQVLDFINKTFKIRKCKKKSNAPCLYYHMGQCLGVCYKENLEKEYQKELDKAKSILNGNISEISSQIDIKLKHAIQKEDFETAIKLKEIRNSLIEINQIQIVTKTNNLNIDYVHVHPGENVNTIIVLKYRNGKLVERDANFDESICKENELILQFLIQYYTSINMIVPDKIHIFLKDIDTKNVEKLINEIKNTKTEIIYKETEEILKIMEMAISNAELSLREYENKSTKALESLKIVLEMDKLPKIIEGFDIAHLKGQETVASMVTFKMGMPFKENYRLYKLNSLLKGEIDDFKAIKEVISRRYSEIINNNLELPNLILIDGGKGQLNAALSILKGLKIENKVKVCSLAKKQETIFLTTNKKGINLPQGHPALRILQNVRDEAHRKANGFNKKRREKITLLYTKIHGIGEKTAQKILKSIGTYKDILPLSENEISEKIKVNVQLAKRIKEFAIKENSIKNNNQDK