C3LR77 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiecgw4q6rvx6ueufqde3wgz3ulfakz4tnh667a6gsf2ej2gmvrkai/metadata.json
IPFS of structure file: 
bafybeih4cdnv4dutptqfbc3bjwyypwotvr7fh2ijypvuuxr364js5g62we/AF-C3LR77-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x84ED7a7765D3f5116d695223Df55BeB86C44bBA6
First NFT owner address (bech32): 
genesis1snkh5am96063zmtf2g3a74d7hpkyfwaxsch0ye
Current NFT ID #253927 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253927
Accession (UniProt):
C3LR77
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
VIBRIO CHOLERAE SEROTYPE O1 (STRAIN M66-2)

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 C3LR77 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C3LR77|MUTL_VIBCM DNA mismatch repair protein MutL OS=Vibrio cholerae serotype O1 (strain M66-2) OX=579112 GN=mutL PE=3 SV=1 MTIRILPARLANQIAAGEVVERPASVVKELVENSLDAGATRIDIDLEKGGAKLIRIRDNGSGIDKDELGLALSRHATSKIHTLDDLEAIMSLGFRGEALASISSVSRLTLTSRTVAQEEAWSAYSEGRDMAVKLQPAAHPVGTTVEVLDLFFNTPARRKFLRTEKTEFTHIDELLKRIALSRFDVSFTLRHNGKIVRQYRAATTLPQQEKRLAAVCGNPFVQHMLRIELEHQGLKLHGWITTPEGARQQSDLQYCYVNGRMMRDKLINHAIRQSYETSLRVDQFATYVLFIELDPHQVDVNVHPAKHEVRFHQARLVHDFIYQALSSALVQGAQVMAPTINEGAFHLPHCAEEVNPPVVPMIDTTQQERVWQAVQNTPDYPRKAPRDNDRDESDNPQVRERAVSNPWVASPKTASTGKERYGSASVSKKEAAVYQTLMQTPDLSDEEPSTASTIVSSIEAVKANIAIEKLGKAIQVVAGQYLLMSSPQGCVLISLYQAQQLKLRGLLNAQHGALKAQPLLVPLALKLNESEWQVAQRHSSALLQLGIELKSRTNHSIMVMAVPQPLRQQNLQQLLPDLLSYAASCSESQALSHQALADWLTQRIVVEKRDYTLAEAIGLIAELEQLWQGNLPLQDPHFITLVDFSASITALHS