Q95K37 AF NFT

Mitochondria-eating protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigo5ciad6ttiafpqywttd5x7nbnnzlio62qaibnskledi6dbxtsee/metadata.json
IPFS of structure file: 
bafybeidfpo4npdy5hdv66vkgidnjopcyvkkcps3debh6cjp3jdwxj6z6gy/AF-Q95K37-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x751f1ee87e6151dBB6f0448fC97D7b0e5D7567cA
First NFT owner address (bech32): 
genesis1w503a6r7v9gahdhsgj8ujltmpewh2e72shv8yd
Current NFT ID #235300 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
235300
Accession (UniProt):
Q95K37
Name::
Mitochondria-eating protein
Experimental Method:
Predicted structure
Sequence source:
MACACA FASCICULARIS

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 Q95K37 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95K37|MIEAP_MACFA Mitochondria-eating protein OS=Macaca fascicularis OX=9541 GN=SPATA18 PE=2 SV=2 MAENLKRLVSNEALRTLQEKLDSWLKEYNTNTCDQNLNHCLELIEQVAKVQGQLFGILTTAAQEGGHNDGVETIKSRLLPWLEASFTAASMGKPVDSKVPSLQNTFDRERRKDPSPRDRDMQQLDSNLNSTRSQLNQVQDDLAETEKNLEETKNRSAISLLAAEEEINQLKKQLKTLQAQEDARHRHTDQRSSENRRSEPRSSEERRCEQWSSLKRNADQRDTEVTSDYKKQLRNLKEEIAVLSAEKSALQGRSSRSRSPSPAPRSRSCSRSRSASPSTAVKVRSPSPNRSKLSNVARKAALLSRFSDSYSQARLDAQCLLRRCIDKAETVQRIIYIATVEAFHVAKMAFRHFKIRVRKSLTPSYVGSNDFENAVSDYVICHLDLYDSQSSVNDVIRAMNVNPKISFPPVVDFCLLSDFIQEICCIAFAMQALEPPLDIAYGADGEVFNDCKYRRSYDSDFTAPLVLYHVWPALMENDCVIMKGEAVTRRGAFWNSVRSLSRCRSRSLSPICPRSQIGLSTMSRSRSPSPIRCGLPRF