Q5QWR2 AF NFT

Chaperone protein HtpG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigmpp7bnjtzttsydvf6vykahea53tpwnpftatukuy4yuxossf7bra/metadata.json
IPFS of structure file: 
bafybeifr7s5bbbfl3xz72wix5y77b2fsxuwgnwiarjtbnei2fljtn4blve/AF-Q5QWR2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xfD64dB3260CDFe4e5027DA9AEA4Ae91ce7088CaA
First NFT owner address (bech32): 
genesis1l4jdkvnqehlyu5p8m2dw5jhfrnns3r92rp99fx
Current NFT ID #180065 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
180065
Accession (UniProt):
Q5QWR2
Name::
Chaperone protein HtpG
Experimental Method:
Predicted structure
Sequence source:
Idiomarina loihiensis (strain ATCC BAA-735 / DSM 15497 / L2-TR)

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 Q5QWR2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5QWR2|HTPG_IDILO Chaperone protein HtpG OS=Idiomarina loihiensis (strain ATCC BAA-735 / DSM 15497 / L2-TR) OX=283942 GN=htpG PE=3 SV=1 MAEAGQMEKHGFQTEVKQLLHLMIHSLYSNKEIFLRELVSNASDAADKLRFKALSDNSLYGDDSDLHVRVSVDKDSRTITISDNGVGMTRDDVMNNLGTIAKSGTAEFFGQLSGDEAKDSKLIGQFGVGFYSAFIVADEVTVRTRSALDKDARGVEWRSQGEGDFEIADIDKARRGTDIILHLKDDADEFLDENRLRGIINKYSEHLSIPVQMWKEPVPESEDDEGNKVEGQPGEWETVNSGQALWTREKSDITDEEYKEFYKTVAHDFDEPLLWSHNKVEGTTEYTNLLYIPKRAPWDLWNREQQHGVKLYVKRVFIMDDAEQLMPTYLRFVRGLVDSNDLPLNVSREILQDNKITRAMRNGSTKKVLQMLKKLAKDDKEQYQQFWDTFGNVLKEGPAEDHTNRERIAELLRFASTHNDGAVQSVSLDDYIERMKEGQDKIFYIVADSYEAARNNPALEIFNKKGIEVLLLSERIDEWLMSHLTEFKEKQLQSVTRGDLDLGELDDEEDKAEQEKAEEAFKENLERFEKALGDKVKKVRVTNRLTNSPACIITDDNDMSTQMAKLMEAAGQAVPETKYIFEVNPEHPLVQRMLTKEDDTFKEWAEVLLDQATLAERGNLKDPASFVTRLNKLMLNA