Q9VPS5 AF NFT

60 kDa heat shock protein homolog 1, mitochondrial

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig6zcrts5r2gjpj4nkeicwsy4b6s6ec3ktypozflgbzrmlj6thjrm/metadata.json
IPFS of structure file: 
bafybeiebn7wkyfr6g436766ez2t7pujzo6ig4twn7zbdx7ejgbtmn5qddu/AF-Q9VPS5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #60296 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
60296
Accession (UniProt):
Q9VPS5
Name::
60 kDa heat shock protein homolog 1, mitochondrial
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VPS5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VPS5|CH60B_DROME 60 kDa heat shock protein homolog 1, mitochondrial OS=Drosophila melanogaster OX=7227 GN=Hsp60B PE=2 SV=1 MFRSCVPKAITSSRCFARMYSKDVRFGSGVRAMMIRGVDILADAVAVTMGPKGRSVIVERPWTSPKITKDGFTVARSIALKDQHMNLGAKLVQDVADNTNESAGDGTTTATVLARAIAKEGFNQITMGANPVEIRRGVMLAVDVVKDKLKEMSKAVETREEIQQVATLSANGDTEIGRLIGEATDKVGPRGTITVKDGKRLKDELNIIQGLRFDNGYVSPFFVNSSKGSKVEFANALVMISLKKITGLSQIVKGLEQSLRQRRPLIIIAEDISGEALNALVLNKLRLGLQVCAVKSPSYGHHRKELIGDISAATGATIFGDDINYSKMEEAKLEDLGQVGEAVISKDSTMLLQGKPKTGLLEMRIQQIQDELAEKQIKPEQRDRLRQRLSALTKGVAVLHIGGGSEVEVNEKKDRVVDALNATRAAIEEGIVPGGGTAFLRCIPYLQELKTESADLQKGVDIVCNALRMPCQTIAQNAGVDGPMVVAKVLNGSEDYGYDAMGDEYCRLVEKGIIDPTKVLRTAITDAAGVASLLSTTEVVITDSRNDDLLSKLSGAGGGMDDGLDMNMGGLEELAALSGLGGMGGMGGMGGMGGMGGMGGGFGGMGAGGGMSASASNDGPTAEEMNEMVKAIPGMEQVEVRDIDSGMM