Q6G424 AF NFT

UvrABC system protein C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihyezdabzi4tc6no3u34ruultlftsmlyi5uqwf3ilqr7raxkt6bq4/metadata.json
IPFS of structure file: 
bafybeidkx7ygch7zkp3frwfthdlnzjsf6xmb5murvxzfqvh43mvxagg77i/AF-Q6G424-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc0F878C3f3E2a1874e2A6daC80d429e553DdB0D5
First NFT owner address (bech32): 
genesis1cru83slnu2scwn32dkkgp4pfu4famvx4x7nssv
Current NFT ID #493617 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
493617
Accession (UniProt):
Q6G424
Name::
UvrABC system protein C
Experimental Method:
Predicted structure
Sequence source:
Bartonella henselae (strain ATCC 49882 / DSM 28221 / Houston 1)

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 Q6G424 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6G424|UVRC_BARHE UvrABC system protein C OS=Bartonella henselae (strain ATCC 49882 / DSM 28221 / Houston 1) OX=283166 GN=uvrC PE=3 SV=1 MILKNNIAYAENEQEKLSFLSHITWDDAHQRNDKNQFKGAKLIQEFVKHLPHKPGVYRMVDENGKVLYVGKARNLKKRVSNYTREQGHNNRITRMIRATSHMEFVVTHTEIEALLLEANLIKRLHPRFNVLLRDDKSFPYIIITDDHRAPALYKHRGARTRKAHYFGPFASSSAVTQTINVLQRAFLLRTCTDSVLENRTRPCLLYQIKRCSAPCTHEISDRDYRELVKGAKSFLSGKSQSIKNDMVQAMHKAAKNFDFEQAAAYRDRLSALSHIQSHQGINPQTIEEADVFAIAQKEGISCIQVFFFRMGQNWGNRAYFPKADPSFSSSEILASFLSQFYDDKPLPKLILLSESIEDKTLLAEAFSLKANRKISLSLPKQGERKTLVNYAYINAHETLGHKLAETATHTKLFQGIAEIFQLPHTPCRIEIYDNSHIMGTNAVGAMIVAGKNGFIKNQYRKFNIRSTDITPGDDFGMMKEVIKRRFSRLIKEHGLPHESKNIQSKDDASFPIWPDLILIDGGKGQINSVHTILSELGLDNFMTVVGIAKGADRRAGRERFFIKGKTPFTLPPCDPILYFLQRLRDEAHRFAIGTHRAKRKKETLKNPLDEIENIGPTRKRALLHHFGSAKAIASASLEDLTKVIGISTTIAQKIYNHFNEK