Q5HPP4 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiasuwktm44c4xmyn3x6feqrx3lzl74qxytddtl7yra23ehvgifrm4/metadata.json
IPFS of structure file: 
bafybeie3yur2lpziobng4tjgi7abnpegaz7zrilm4bwqcc46xvnwyrqrie/AF-Q5HPP4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc179FcAd565352aef7349a1598def4650f5E59C5
First NFT owner address (bech32): 
genesis1c9ulet2k2df2aae5ng2e3hh5v584ukw9a3uu49
Current NFT ID #253872 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253872
Accession (UniProt):
Q5HPP4
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS EPIDERMIDIS (STRAIN ATCC 35984 / RP62A)

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 Q5HPP4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5HPP4|MUTL_STAEQ DNA mismatch repair protein MutL OS=Staphylococcus epidermidis (strain ATCC 35984 / RP62A) OX=176279 GN=mutL PE=3 SV=1 MGKIKELETSLANKIAAGEVVERPSSVVKELLENAIDAQATEINIEVEQSGVSSIRVVDNGTGIAQEDLGLVFHRHATSKIVADDDLFHIRTLGFRGEALASISSVAKVTLKTCTDNENGHEIYAENGKIIHQKPAKAKKGTDIQVDSLFYNTPARLKYIKSLYTELGKITDIVNRMAMSHPEIRISLVSDGKKLLSTNGSGRTNEVMAEIYGMKVAKDLVHISGDTSDYHLEGFVAKPEHSRSNKHYISIFINGRYIKNFVLNKAILEGYHTLLTIGRFPICYINIQMDPILVDVNVHPTKLEVRLSKEDQLYDLIVTKIREAFKDKILIPQNDLNHASKKNKVLETFEQQKINFEKQQSQIGETSAPYVHDQKDKNHDVESHKNNLDSTSSTNNESTEVSNELHNHIDDSYLQSQKEVLFDMEQNTSNEYEISNQQSNDIKGTVSQTPHRRVPYMEIVGQVHGTYIIAQNENGMFMIDQHAAQERIKYEYFREKIGEVTNEVQNLLIPLTFHFSKDEQMIIDQYKDELDKVGVHLEHFGGHDYIVNSYPVWFPKEEAEEIIKDMIELVLKHKSVDVKKIREDAAIMMSCKKSIKANHYLKNNEMADLIDQLREAEDPFTCPHGRPIIINFSNYELEKLFKRVM