A9QYN3 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib3ilp6oiwfa4lvlxesx5efia5p7jfs3xuvb5hu3kpmazv5iagize/metadata.json
IPFS of structure file: 
bafybeifsabfslrigp2zcdzhdaglsi5cjre6nj3ktoyjxtbwwf7tybcvzym/AF-A9QYN3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x49aCb8f3495B8CB834BeDb8a8469d2488AF00C58
First NFT owner address (bech32): 
genesis1fxkt3u6ftwxtsd97mw9gg6wjfz90qrzc58a5gj
Current NFT ID #253950 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253950
Accession (UniProt):
A9QYN3
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9QYN3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9QYN3|MUTL_YERPG DNA mismatch repair protein MutL OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=mutL PE=3 SV=1 MPIQILPPQLANQIAAGEVVERPASVVKELVENSLDAGATRIDIDIERGGAKLIRIRDNGCGISKDDLALALARHATSKISSLEDLEAILSMGFRGEALASISSVSRLILTSRTAEQSEAWQAYAEGRDMAVTIKPAAHPVGSTLEVLDLFYNTPARRKFMRTEKTEFGHIDEVVRRIALARFDVAINLNHNGKLIRQYRAAPDPAQHERRLASICGPAFLQHALAIAWQHGDLNIHGWVADPAASHTLSEMQYCYVNNRMMRDRLINHAIRQAYQDRLNDAQQPAYVLYLDIDPHQVDVNVHPAKHEVRFHQARLVHDFIYQAVTAVLQQTNAPILNISEEGEVDAPRWQQENRVAAGTNKYAQPEAAKSSAAEQAVARERSSARERAALAYKEDHPYQKQQGELYRQLLQPSAAAKPATSPAAIPASSVSSPSIPVQRITQAEEPLHGDNYSFGRVLTVFPPCYALIEYQGGVALLSLAVAERWLKQAQLSPPEEGLRPQPLLIPLKITLDKNEIAACQNHEKLLITMGIELSVEQGRATLRAVSLPLRQQNLQKLIPELLGYLSQHEEISPDTLATWLARHLGSEHEVWNVSQAIQLLTEVERLCPQLVQSPPAGLLQPIDIKAALATLTHE