Q8FAK9 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicyni5k6wqwy77hk5g2b3s363wypvuh44ak6axwad7gtk34y3mtv4/metadata.json
IPFS of structure file: 
bafybeiaoluwwfzndu6qx6tbk3hjk2jpec43flksaxqnr7r4aiicj3nn3zm/AF-Q8FAK9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4F645e7408E44AD5ad5D75Dc57907ED9c9F89Dbf
First NFT owner address (bech32): 
genesis1faj9uaqgu39dtt2awhw90yr7m8yl38dl6456yg
Current NFT ID #253662 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253662
Accession (UniProt):
Q8FAK9
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI O6:H1 (STRAIN CFT073 / ATCC 700928 / UPEC)

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 Q8FAK9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8FAK9|MUTL_ECOL6 DNA mismatch repair protein MutL OS=Escherichia coli O6:H1 (strain CFT073 / ATCC 700928 / UPEC) OX=199310 GN=mutL PE=3 SV=2 MPIQVLPPQLANQIAAGEVVERPASVVKELVENSLDAGATRIDIDIERGGAKLIRIRDNGCGIKKDELALALARHATSKIASLDDLEAIISLGFRGEALASISSVSRLTLTSRTAEQQEAWQAYAEGRDMDVTVKPAAHPVGTTLEVLDLFYNTPARRKFLRTEKTEFNHIDEIIRRIALARFDVTINLSHNGKIVRQYRAVPEGGQKERRLGAICGTAFLEQALAIEWQHGDLTLRGWVADPNHTTPALAEIQYCYVNGRMMRDRLINHAIRQACEDKLGADQQPAFVLYLEIDPHQVDVNVHPAKHEVRFHQSRLVHDFIYQGVLSVLQQQLETPLPLDDEPQPAPRAIPENRVAAGRNHFAEPAVREPVAPRYSPAPASGSRPAASWPNAQPGYQKQQGEVYRQLLQTPAPMQKPKAPEPQEPALAANSQSFGRVLTIVHSDCALLERDGNISLLSLPVAERWLRQAQLTPGEVPVCAQPLLIPLRLKVSGEEKSALEKAQSALAELGIDFQSDAQHVTIRAVPLPLRQQNLQILIPELIGYLAKQSVFEPGNIAQWIARNLMSEHAQWSMAQAITLLADVERLCPQLVKTPPGGLLQSVDLHPAIKALKDE