Q59676 AF NFT

Methylmalonyl-CoA mutase small subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihos6asqwqy6odxmc6vtn4pguziiizcli3yecybngveq2fxotj7km/metadata.json
IPFS of structure file: 
bafybeib7lecobalda6tfhs2m6jvquvxc2m7akygln7bboocfsxiq7v4hgq/AF-Q59676-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd10960F956646DE8b64d3598984c91C2d5Af3D7b
First NFT owner address (bech32): 
genesis16yykp72kv3k73djdxkvfsny3ct2670tm7h5hjv
Current NFT ID #253406 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253406
Accession (UniProt):
Q59676
Name::
Methylmalonyl-CoA mutase small subunit
Experimental Method:
Predicted structure
Sequence source:
PORPHYROMONAS GINGIVALIS (STRAIN ATCC BAA-308 / W83)

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 Q59676 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q59676|MUTA_PORGI Methylmalonyl-CoA mutase small subunit OS=Porphyromonas gingivalis (strain ATCC BAA-308 / W83) OX=242619 GN=mutA PE=3 SV=2 MAKEKEKLFSEFPPVSREAWIDKITADLKGVPFEKKLVWRTNEGFNVNPFYRREDIEDLKTTTSLPDEYPYVRSTRMHNEWLVRQDIVVGDNVAEANEKALDLLNKGVDSLGFYLKKVHINVDTLAALLKDIELTAVELNFNCCITRAADLLSAFSAYVKKVGADPNKCHGSVSYDPFKKQLVRGVSNPDWVKMTLPVMDAARELPAFRVLNVNAVNLSDAGAFITQELGYALAWGAELLDKLTDAGYKPEEIASRIKFNFGIGSNYFMEIAKFRAARWLWAQIVGSYGDQYKNETAKIHQHATTSMWNKTVFDAHVNLLRTQTETMSAAIAGVDSITVLPFDVTYQQSDDFSERIARNQQLLLKEECHFDKVIDPSAGSYYIETLTNSIGEEAWKLFLSVEDAGGFTQAAETASIQKAVNASNIKRHQSVATRREIFLGTNQFPNFTEVAGDKITLAQGEHDCNCVKSIEPLNFSRGASEFEALRLATEKSGKTPVVFMLTIGNLAMRLARSQFSSNFFGCAGYKLIDNLGFKSVEEGVDAALAAKADIVVLCSSDDEYAEYAPAAFDYLAGRAEFVVAGAPACMADLEAKGIRNYVHVKSNVLETLRAFNDKFGIR