Q12W02 AF NFT

UvrABC system protein C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihyrvi2ue7jy4n23cpbck45lr4ulxcoxnrnx2s32tzskq23ysichq/metadata.json
IPFS of structure file: 
bafybeidkhywe7gx4jyjuerbvcvww55gq43fiyc3yxznurvto26buxmwnee/AF-Q12W02-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7782F4817b37743d738e9aF842bf74bd50f2015E
First NFT owner address (bech32): 
genesis1w7p0fqtmxa6r6uuwntuy90m5h4g0yq27nqe34a
Current NFT ID #493856 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
493856
Accession (UniProt):
Q12W02
Name::
UvrABC system protein C
Experimental Method:
Predicted structure
Sequence source:
Methanococcoides burtonii (strain DSM 6242 / NBRC 107633 / OCM 468 / ACE-M)

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 Q12W02 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q12W02|UVRC_METBU UvrABC system protein C OS=Methanococcoides burtonii (strain DSM 6242 / NBRC 107633 / OCM 468 / ACE-M) OX=259564 GN=uvrC PE=3 SV=1 MRPDISNIPELPGVYLMKDISDNIIYIGKAKSLKKRVSQYFQSSKNHSSKTRAMVRKIADVDYIVTESEVAALILEANLVKKNRPHYNIDLKDDKRYPYVKVTVNTKFPKIFITRRRLMDGALYFGPYTNVKPVRQTLDMISQIFRIKRCNRRVDGKGKRACLNYHIDRCYAPCNGSITPEEYRNNVMEAVKLFKGETSGTIKELQEKMNIHAIAQEYESAAVIRDQIDALKSLSRQQTATAGNDDSDIIATASDDETVFVQIFYIRDGNMVGKADMSLSWGDATGNIARVTEEFIKQYYQDAPVPPEILVQYPIPEKELVIKWLSEKAARSVQIQVPQRGNKKRLMEMAEQNAQMTLEQSHLKQSDKEQALQALLQLRDALALSTLPAHIEGFDISNISGTDAVGSMVVFENGLPANSKYRHFNIKTVKGIDDFAMMAEVVKRRYTHQKAEKDKLPDLILIDGGPGQVSAAMGSLKELQLDIPLVGLAKRFEHIIVPKDGTDEVVILPHTSEALKVLMRVRDESHRFAVSSHRRRRTARLSHSELDTIPGIGASRKKALLNHFSSIEQIRHASVEELTAVEGISKGLAERIVAHFNKERVENQ