C7LYP4 AF NFT

Proteasome-associated ATPase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid5aeqe53fdz4v4bz2e6p65nnrpprbie6s6f2ulryxlg3brfmwuiy/metadata.json
IPFS of structure file: 
bafybeib6bjqxsqnxwqapedhez3scs5mcgb42juzrgkrwu5noy46sffoosm/AF-C7LYP4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #20373 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
20373
Accession (UniProt):
C7LYP4
Name::
Proteasome-associated ATPase
Experimental Method:
Predicted structure
Sequence source:
Acidimicrobium ferrooxidans (strain DSM 10331 / JCM 15462 / NBRC 103882 / ICP)

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 C7LYP4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C7LYP4|ARC_ACIFD Proteasome-associated ATPase OS=Acidimicrobium ferrooxidans (strain DSM 10331 / JCM 15462 / NBRC 103882 / ICP) OX=525909 GN=arc PE=3 SV=1 MPRDETPEREHAEQQSRQALEEEVRELRRRVEEAPSRVRALEEKLLEVSGALAQTQAKNEKLTFTLQQAREHIQNLREEVEKLTQPPSAYGVYLAANQDGTADVFTTGRKMRVAVHPEIDLAAVRVGQEVVLNESFAIVSVRGSDVIGEVATVKDVLDDGSRVILLGRADEERVAQVAGHLQHPPLRVGDSVMVDPRSAMVLERLPRPEVSELALEEVPDITYHDIGGLDRQIEEIQDAVELPFLYRELFGDYRLPAPKGILLYGPPGCGKTLIAKAVANSLAKKVEQVSGRSVRSYFLNVKGPELLNKYVGETERQIRLIFQRAREKAEEGVPVIVFFDEMDSLFRTRGSGISSDMESTVVPQLLAEIDGVEALRNVIVIGASNREDLIDPAILRPGRLDVKIKIERPDEQAAREIFARYLTPEVPIDAGEVTTLGGGDAEKAIAVMIERTVERMYATSDENRFLEVTYQNGEKEILYFKDFSSGAMIENIVRRAKKLAIKREIAGGSRGICLDDLLASIAKEFKEHEDLPNTTNPDDWAKISGRKGERIVFMRILLHEEEGQTGGRAIERVATGQYL