P9WMJ7 AF NFT

Chaperone protein HtpG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif6se7oyuma5x42aw4corphyqia57ugluxxwmrmihnwf4qtxl62qa/metadata.json
IPFS of structure file: 
bafybeicrun2rpn5v24hknz42nn5hec3rsf7u2fbagsndyyu3h4e2jckzia/AF-P9WMJ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #180093 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
180093
Accession (UniProt):
P9WMJ7
Name::
Chaperone protein HtpG
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WMJ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WMJ7|HTPG_MYCTU Chaperone protein HtpG OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=htpG PE=1 SV=1 MNAHVEQLEFQAEARQLLDLMVHSVYSNKDAFLRELISNASDALDKLRIEALRNKDLEVDTSDLHIEIDADKAARTLTVRDNGIGMAREEVVDLIGTLAKSGTAELRAQLREAKNAAASEELIGQFGIGFYSSFMVADKVQLLTRKAGESAATRWESSGEGTYTIESVEDAPQGTSVTLHLKPEDAEDDLHDYTSEWKIRNLVKKYSDFIAWPIRMDVERRTPASQEEGGEGGEETVTIETETLNSMKALWARPKEEVSEQEYKEFYKHVAHAWDDPLEIIAMKAEGTFEYQALLFIPSHAPFDLFDRDAHVGIQLYVKRVFIMGDCDQLMPEYLRFVKGVVDAQDMSLNVSREILQQDRQIKAIRRRLTKKVLSTIKDVQSSRPEDYRTFWTQFGRVLKEGLLSDIDNRETLLGISSFVSTYSEEEPTTLAEYVERMKDGQQQIFYATGETRQQLLKSPHLEAFKAKGYEVLLLTDPVDEVWVGMVPEFDGKPLQSVAKGEVDLSSEEDTSEAEREERQKEFADLLTWLQETLSDHVKEVRLSTRLTESPACLITDAFGMTPALARIYRASGQEVPVGKRILELNPSHPLVTGLRQAHQDRADDAEKSLAETAELLYGTALLAEGGALEDPARFAELLAERLARTL