Q732V8 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiavcf3khnium5yxqwm7cjlxptdqk6c45ypwu3elvdbcb4o7w33m2e/metadata.json
IPFS of structure file: 
bafybeifx536elsn3e35h3fvrxjckd6uwqdpwuhxggze4a7lluaciy7dxni/AF-Q732V8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa870d516e0F9a40516E0De78529921327CFBc8ee
First NFT owner address (bech32): 
genesis14pcd29hqlxjq29hqmeu99xfpxf70hj8wwc3kzy
Current NFT ID #253540 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253540
Accession (UniProt):
Q732V8
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
BACILLUS CEREUS (STRAIN ATCC 10987 / NRS 248)

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 Q732V8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q732V8|MUTL_BACC1 DNA mismatch repair protein MutL OS=Bacillus cereus (strain ATCC 10987 / NRS 248) OX=222523 GN=mutL PE=3 SV=1 MGKIRKLDDQLSNLIAAGEVVERPASVVKELVENSIDANSTSIEIHLEEAGLSKIRIIDNGDGIAEEDCIVAFERHATSKIKDENDLFRIRTLGFRGEALPSIASVSELELITSTGDAPGTHLIIKGGDIIKQEKTASRKGTDITVQNLFFNTPARLKYMKTIHTELGNITDIVYRIAMSHPEVSLKLFHNEKKLLHTSGNGDVRQVLASIYSIQVAKKLVPIEAESLDFTIKGYVTLPEVTRASRNYMSTIVNGRYVRNFVLMKAIQQGYHTLLPVGRYPIGFLSIEMDPMLVDVNVHPAKLEVRFSKEQELLKLIEETLQAAFKKIQLIPDAGVTTKKKEKDESVQEQFKFEHAKPKEPSMPEIILPTGMDEKQEEPLAVKQPAQLWQPPKQEWQPPQSLVREEQSWQPSTKSIIEEPIREEKSWDSNDEDFELEELEEEVQEIKEIEMNGNDLPPLYPIGQMHGTYIFAQNDKGLYMIDQHAAQERINYEYFRDKVGRVAQEVQELLVPYRIDLSLTEFLRVEEQLEELKKVGLFLEQFGHQSFIVRSHPTWFPKGQETEIIDEMMEQVVKLKKVDIKKLREEAAIMMSCKASIKANQYLTNDQIFALLEELRTTTNPYTCPHGRPILVHHSTYELEKMFKRVM