P58481 AF NFT

Chaperone protein HtpG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihu3blhjhzxmfv5h45rlxv2a3vofmmvtujee7zwv555ohkn5mfamm/metadata.json
IPFS of structure file: 
bafybeigrmxvxmok3ehgtafuvxyklhik3d3sijlxl6dby37ylhtx6x4m7nu/AF-P58481-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xfA2D7d215A9007e461048F5227b95Ba72662019E
First NFT owner address (bech32): 
genesis1lgkh6g26jqr7gcgy3afz0w2m5unxyqv75zsktu
Current NFT ID #180189 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
180189
Accession (UniProt):
P58481
Name::
Chaperone protein HtpG
Experimental Method:
Predicted structure
Sequence source:
STREPTOMYCES COELICOLOR (STRAIN ATCC BAA-471 / A3(2) / M145)

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 P58481 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P58481|HTPG_STRCO Chaperone protein HtpG OS=Streptomyces coelicolor (strain ATCC BAA-471 / A3(2) / M145) OX=100226 GN=htpG PE=3 SV=1 MTTETFEFQVEARQLLQLMIHSVYSNKDVFLRELVSNASDALDKLRLAALRDDAPDADVSDLHIELEVDKDARTLTVRDNGIGMSYDEVTRLIGTIANSGTAKFLEELREAKDAAGADGLIGQFGVGFYSGFMVADEVTLVTRHAGETEGTRWTSRGEGTYTLERIGEAPQGTAVTLHLKPADVENQLHDYTSAWKIKEIVKRYSDFITWPVRLLPEPGGDGSDGEGAEAREAETLNSMKALWARPRDEVSDDEYHELYKHIAHDWRDPLETIRLQAEGTFEYQALLFVPSHAPHDLFTQGYQRGVQLYVKRVFIMDDCEELLPPHLRFVKGVVDAQDLSLNVSREILQQDRHIRMIQRRLTKKVLSTVKDLRTSAPDRYATFWREFGAVLKEGLVTDSDNRDAILAACSFASTHDAEEPTALKDYVERMKEGQDDIYYMTGESRQAIENSPHMEAFRAKGVEVLLLTDAVDEVWVDAVGEYEGKTLRSVAKGEIDLSGTEADKSDAEKEKQGEEYAGLLGWMTEHLGEEVKEVRLSSRLTVSPACVVSDAGELTPALENMYRAMGQEVPGAKRILELNPEHQLVKSLNRAWTDRQDRAELTETAELLHALAVLAEGGRPKEPARFVQLMADRLERTL