P37211 AF NFT

ATP synthase subunit alpha, mitochondrial

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic3ve2yasxwwaeshydydwaq5acqhc3ep4un2ow7ee2kfzjze6fnsa/metadata.json
IPFS of structure file: 
bafybeicpxczp6eqp4nacqgpmii2mjs5imspdbqlym3prjq6kkvnagkksgy/AF-P37211-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf4ED13986579E8e227b3ED6c02276c648754EC27
First NFT owner address (bech32): 
genesis17nk38xr9085wyfana4kqyfmvvjr4fmp80usw7n
Current NFT ID #33529 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
33529
Accession (UniProt):
P37211
Name::
ATP synthase subunit alpha, mitochondrial
Experimental Method:
Predicted structure
Sequence source:
NEUROSPORA CRASSA (STRAIN ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987)

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 P37211 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P37211|ATPA_NEUCR ATP synthase subunit alpha, mitochondrial OS=Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987) OX=367110 GN=atp-1 PE=3 SV=1 MFRNALRQSTRAVGAFSATGRVAARNAAPVVSAVQARTYADAKATPTEVSSILEQRIRGVQEESNLAETGRVLSVGDGIARVHGMANVQAEELVEFASGVKGMCMNLEAGQVGVVLFGSDRLVKEGETVKRTGEIVDVPVGPELLGRVIDALGNPIDGKGPINCKEKRRAQLKAPGILPRQSVNQPVQTGLKSVDAMVPIGRGQRELIIGDRQTGKTAVALDAILNQKRWNSGSDEDKKLYCVYVAVGQKRSTVAQLVKTLEENDAMKYSIVVAATASEAAPLQYLAPFTGACVGEYFRDNGKHSLVIFDDLTKQAVAYRQMSLLLRRPPGREAYPGDVFYLHSRLLERAAKMNKTHGGGSMTALPVIETQGGDVSAYIPTNVISITDGQIFLESELFYKGVRPAINVGLSVSRVGSAAQLKAMKQVAGSLKLFLAQYREVAAFAQFGSDLDAATKQTLNRGERLTELLKQKQYSPMAVNEMVPLIFAGVNGFLDSVPVAKILQWEADFLAHLKTNEPEIMATIDKEGAISKDLEAKLRDVIQTFTKSFLG