A1JIR3 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeichhnaeb63wf2uauwvyeook7rffm7ewo6or2pbmktvswiogkvrvay/metadata.json
IPFS of structure file: 
bafybeihmefrvkfllh6bz65l4nutljpakkugq7hkczsw6qk4daq3p6yer7i/AF-A1JIR3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa05A4C13B44A0c9D936968D2D9C1A7f56173B9Ef
First NFT owner address (bech32): 
genesis15pdycya5fgxfmymfdrfdnsd874sh8w008vykcu
Current NFT ID #253945 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253945
Accession (UniProt):
A1JIR3
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
YERSINIA ENTEROCOLITICA SEROTYPE O:8 / BIOTYPE 1B (STRAIN NCTC 13174 / 8081)

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 A1JIR3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1JIR3|MUTL_YERE8 DNA mismatch repair protein MutL OS=Yersinia enterocolitica serotype O:8 / biotype 1B (strain NCTC 13174 / 8081) OX=393305 GN=mutL PE=3 SV=1 MPIQILPPQLANQIAAGEVVERPASVVKELVENSLDAGASRIDIDIERGGAKLIRIRDNGCGIGKDDLALALARHATSKISSLEDLEAILSMGFRGEALASISSVSRLILTSRTAEQNEAWQAYAEGRDMAVTIKPAAHPVGSTLEVLDLFYNTPARRKFMRTEKTEFGHIDEVVRRIALARFDVAINLSHNGKLMRQYRAAPDPSQHERRLASICGPAFLQHALAISWQHGDLTIRGWVADPAASRTLSEMQYCYVNNRMMRDRLINHAIRQAYQDLLKDDQQPAYVLYLDIDPHQVDVNVHPAKHEVRFHQARLVHDFIYQAVTTVLQQTATPLLNINEDGEEIEAPRWQPENRVAAGANKYAQPEPANTVPVVRTSSPERTATTERSIARERTPTYHAGEPYQKQQGELYRQLVQPAAVNKPAAVSQPSAASAPVARQISTDEPLHGDNYSFGRVLTVFPPCYALIEYKQGIALLELTVAERWLKQAQLNPPAEGLRPQPLLIPLKLTLDKNEATACQRHQKLLATMGIELAVEHTRATLRAVSLPLRQQNLQKLIPELLGYLSQHEEISPDALATWISRHLGSEHEVWNVSQAIQLLTDVERLCPQLVKSPPAGLLQPIDIKAALATLTHE