B2K202 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifc2xtk4k4is2lw4af4cfxv6ta52aymqklz3xvczwlrls6pqp4iwm/metadata.json
IPFS of structure file: 
bafybeicmbcrdyh66qx2idm3tiwc27lh22i34wwpihmof3plxyljnjs2rdu/AF-B2K202-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #253948 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253948
Accession (UniProt):
B2K202
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
Yersinia pseudotuberculosis serotype IB (strain PB1/+)

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 B2K202 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2K202|MUTL_YERPB DNA mismatch repair protein MutL OS=Yersinia pseudotuberculosis serotype IB (strain PB1/+) OX=502801 GN=mutL PE=3 SV=1 MPIQILPPQLANQIAAGEVVERPASVVKELVENSLDAGATRIDIDIERGGAKLIRIRDNGCGISKDDLALALARHATSKISSLEDLEAILSMGFRGEALASISSVSRLILTSRTAEQSEAWQAYAEGRDMAVTIKPAAHPVGSTLEVLDLFYNTPARRKFMRTEKTEFGHIDEVVRRIALARFDVAINLNHNGKLIRQYRAAPDPAQHERRLASICGPAFLQHALAIAWQHGDLNIHGWVADPAASHTLSEMQYCYVNNRMMRDRLINHAIRQAYQDRLNDAQQPAYVLYLDIDPHQVDVNVHPAKHEVRFHQARLVHDFIYQAVTAVLQQTNAPILNISEEGEVDAPRWQQENRVAAGTNKYAQPEAAKSSAAEQAVARERSSARERAAPAYKEDHPYQKQQGELYRQLLQPSAAAKPATSPAAIPASSVSSPSIPVQRITQAEEPLHGDNYSFGRVLTVFPPCYALIEYQGGVALLSLAVAERWLKQAQLSPPEEGLRPQPLLIPLKITLDKNEIAACQNHEKLLITMGIELSVEQGRATLRAVSLPLRQQNLQKLIPELLGYLSQHEEISPDTLATWLARHLGSEHEVWNVSQAIQLLTEVERLCPQLVQSPPAGLLQPIDIKAALATLTHE