B4S3X8 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeige4lyamvugs2o55u6ts6jf5trk2fpybr65eo7q3uudjfbar635dy/metadata.json
IPFS of structure file: 
bafybeiho6fhygwnkty5hrq2ccuu67gosyxrbdb7wcaakexka3czl7lr6da/AF-B4S3X8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x36396A7ff03852f3Da88FCa9E3F53DE29515B22F
First NFT owner address (bech32): 
genesis1xcuk5lls8pf08k5glj578afau223tv30lcpply
Current NFT ID #253773 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
253773
Accession (UniProt):
B4S3X8
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
Prosthecochloris aestuarii (strain DSM 271 / SK 413)

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 B4S3X8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4S3X8|MUTL_PROA2 DNA mismatch repair protein MutL OS=Prosthecochloris aestuarii (strain DSM 271 / SK 413) OX=290512 GN=mutL PE=3 SV=1 MPRITKLPESVANKISAGEVVQRPASVVKELIENAIDAGAGRIVLSIKDAGKQLVQIIDNGHGMSEPDALMCVERFATSKISSAEELETLGTLGFRGEALASISSVSHFELKSCSEGMDAAFLHRYEGGELVEKSKAAADRGTTISVRNLFFNVPARRKFLKTNATEFKHIFETVKAQALAYPEIQWQLFNDDEELFHFRSSDMHERLNFFFGEEFADSLIEIREENDFLSLYGYVGKPGMLKRQKNDQLFYINRRVIQNRMLSQALQQAYGELLVERQTPFALLFLGLDTRQVDINVHPAKLEVKFEDERNIRNMVYPIVKRAVQLQDFAPDVGIAGLLERQMTQDAMNPENSLRKLEYKRAAGPSSTTDDLYRSYLSELPPVSSPPPGSIGEQGEMFSDLLAPSRDRELKPSVYDRSALLQSDENRPDPAGSDSKIWQLHNKYIVCQIKTGLMVIDQHVAHERVLYERAVEIMNNNVPNSQQLLFPQKIELKSWEYEIFQEIRDDLCRLGFNLRSFGNRTVMIEGIAQDVRNGTEAVILQNMIDEYQQNALKLKLEKRENLAKSYSCRNAIMSGQKLSLEEMRSLIDRLFATRMPYVCPHGRPVIIKISLDQLDRMFGRK