Q3ACA6 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie5u566yy2y34r3yh4umaktxjimjw5ehvjcemx7kx6yneuiavmwcq/metadata.json
IPFS of structure file: 
bafybeibww76of35sm76lx6xj344nb3tmsvs4dteb77c2ob4uc33xgl23fi/AF-Q3ACA6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x16e07C76957A2F24F14ACC5393e231dF9b8720B9
First NFT owner address (bech32): 
genesis1zms8ca540ghjfu22e3fe8c33m7dcwg9enhce7k
Current NFT ID #253593 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253593
Accession (UniProt):
Q3ACA6
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
CARBOXYDOTHERMUS HYDROGENOFORMANS (STRAIN ATCC BAA-161 / DSM 6008 / Z-2901)

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 Q3ACA6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3ACA6|MUTL_CARHZ DNA mismatch repair protein MutL OS=Carboxydothermus hydrogenoformans (strain ATCC BAA-161 / DSM 6008 / Z-2901) OX=246194 GN=mutL PE=3 SV=1 MPKIKRLPDEVIKKIAAGEVVERPYSVVKELVENSLDAKAQNINVYIEEGGLGKIVVEDDGIGIPPEELPDALLRHTTSKIASFDDLYYLESFGFRGEALYSIAAVSKISIKSRVRGENNGYELIAHAGEVINLTEVGMAYGTVVTVSDLFFNTPARKKFLKSGQTEAGLIRQFIEKMAILYPGVKFSLFIDGKKIYSSAGIQEQLGLLARFWGLEKGNLLMLEEKLGEGFFIKGGIALPPAGKPHRKLQVFAVNKRLVKSGILTKAIDDAYESLLPTGLKPLVFLEVVVPGTWVDVNVHPQKLEVKFMDEQKIYLDVRTIIRNKLVNAKSSSLKSFSPARETNTKSEDNDYWQVTYFAEEFSGNSDKLLEKEDIFSTSDNLTFSLNKDFAKELNFQVIGQFSLKYIIVEKNDKLLIIDQHAAHERILYEKYQTKLNPFYSQVLTFPVRIKASPELEAFLQENYQNFLEIGLHIEPFGPGEYLVREIPEDFPQNNIANVLEEYLYEIMEQKEQVSFREKALKLFACKNAVKFGEKLTYSEMTNLVKELFKTNYPLSCPHGRPTIYELSLTEINKKFFR