A2QJH4 AF NFT

Mitochondrial distribution and morphology protein 34

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicbwnhox7khfthxqwbf64grokovydwmwwcl65ssr3wms6fdvwviom/metadata.json
IPFS of structure file: 
bafybeibwvlb2insp7kydjmnmznjjgiu2shkptuyccjw467ny6xznv4xtaq/AF-A2QJH4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #227838 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
227838
Accession (UniProt):
A2QJH4
Name::
Mitochondrial distribution and morphology protein 34
Experimental Method:
Predicted structure
Sequence source:
ASPERGILLUS NIGER (STRAIN CBS 513.88 / FGSC A1513)

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 A2QJH4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A2QJH4|MDM34_ASPNC Mitochondrial distribution and morphology protein 34 OS=Aspergillus niger (strain CBS 513.88 / FGSC A1513) OX=425011 GN=mdm34 PE=3 SV=2 MAFNFNWSPLMADASFYTRAQELLTAALNKSPKPPIIVDDIHVTELNLGSIPPELEILEIGDLAEDRFRGIFKMSYTGDAFLTLKTRVQANPLNTYLLTRPSFATPLPVAAATPLTIPLQITLSDFKLSGFVILVFSKQKGITVVFRNDPLESLKVSSTFDSIPFVRDFLQREIEGQLRVLFMDELPAIIHRLSLRLWVPEYRAGEEMANRATNTAGEGPGQDPLASPPQDPVDAQGNALDESEIASLSLDSSVETHSLFSQKNLLRLAALTDSQRTLSLFTPSIQEVVYRAWTSPSDAGEVSGGVMSPLSPVLSRTQSQVGGMSSFHDTASMVSSQTRSSTNTHTFSSYGLSLGAGRHSKSNARRRKKRVVDLRRPKTTEDAVSVSGESTYTETTSAPSICSAPLPVVSEQTDDPVTPPLSPDSELHLPTVPERHRLSISRQMPRRDIATEMLRETGESSAQPVNHSAVDVNATPRVAVHPYIAAQHESEKEEASAPRQLPSKALPLSDAKPTSSIVDQALVERLAGEIARRMREEKLTPGNSCSSFWDRLSHDDAPPAYGQ