A8H8G8 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifkdk3jrtwxk6qgaiquzxekzklazjttmg7ajdcvr5bzqzbqeybjoi/metadata.json
IPFS of structure file: 
bafybeibebiznuvvkb37oqntsi5rxwgdaf7dgld75rww4z3zz2fok4crk5a/AF-A8H8G8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE14c7d3573074F3F9DC243BEDa64BaBcFD04DeA7
First NFT owner address (bech32): 
genesis1u9x86dtnqa8nl8wzgwld5e96hn7sfh48uqq2sv
Current NFT ID #253842 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253842
Accession (UniProt):
A8H8G8
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
Shewanella pealeana (strain ATCC 700345 / ANG-SQ1)

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 A8H8G8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A8H8G8|MUTL_SHEPA DNA mismatch repair protein MutL OS=Shewanella pealeana (strain ATCC 700345 / ANG-SQ1) OX=398579 GN=mutL PE=3 SV=1 MAIEKLPPQLANQIAAGEVVERPASVIKELVENSLDAGATRVDIEIEKGGAKLIRIRDNGSGIPKEDLSLALSRHATSKLKSLDDLEAILSFGFRGEALASISSVSRLILTSRTAEQTEAWQAHAEGTEMAVKVLPAAHPVGSTVEAVDLFFNTPARRRFLKSDKTEFTHIDEWLKRIALARRDIHFTLKHNGKTVRNYRPANTEIQYIQRLGQICGKAFAETCLRIECEHNDLKLSGYLQSPSAASGYSETQYFYVNGRLVKDRLVNHAVRQAFSQYAEGISPGYVLMLELDPHQVDVNVHPAKHEVRFHQSRYVHDYILQALQSAMAQSTQLSVDIEPESEQTTAWQTSPTRGAVAPSHYVDESKSKPSAVFDVRERHSSASQAGYSGGGGSYRSQLKPASRNSEVSLPSQTSIRAYGELLSTDSVQTQSTNVPLRPAAHQAGMMSTSHGAASMPPVIAGQYWVLVKEDKISLLDIAMVAKAALKAEIAAKLAQGIIGQPLLMPVAISVDDDWPEIIDNREQLLRKLGIELSIRLGQLIIKKVPPYLRDSQLAALIPELLEWIRLELPSDAAVIKWLAEQAANRFTSASEAWFAFSALPDDVQCELYNHSQELPWEQWMKENQSDR