A1JNB3 AF NFT

Chaperone protein HtpG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifnlrehjs2t3pyvqxp4yli4ugdk3bqb4g4xocugyml5qoejoismfi/metadata.json
IPFS of structure file: 
bafybeibjwmjxo2we5b4xjpmtao432bv4vya5p6lvz4feddipq5xvz6j3wq/AF-A1JNB3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd2c31D05bD906536424255BF8dB91Fc13bB5ffFF
First NFT owner address (bech32): 
genesis16tp36pdajpjnvsjz2klcmwglcyamtllljyg4yy
Current NFT ID #180217 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
180217
Accession (UniProt):
A1JNB3
Name::
Chaperone protein HtpG
Experimental Method:
Predicted structure
Sequence source:
YERSINIA ENTEROCOLITICA SEROTYPE O:8 / BIOTYPE 1B (STRAIN NCTC 13174 / 8081)

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 A1JNB3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1JNB3|HTPG_YERE8 Chaperone protein HtpG OS=Yersinia enterocolitica serotype O:8 / biotype 1B (strain NCTC 13174 / 8081) OX=393305 GN=htpG PE=3 SV=1 MSMKGQETRGFQSEVKQLLHLMIHSLYSNKEIFLRELISNASDAADKLRFRALSHPELFEGDGELRVRLSFDKEKRTLTLSDNGIGMSREEVIDNLGTIAKSGTKAFLESIGSDQAKDSQLIGQFGVGFYSAFIVADKVTVRTRAAGAPADAGVFWESAGEGDYTIADITKEDRGTEITLHLREGEDEYLDNWRLRSVISKYSDHIALPVEIESKNEEDGTVTWEKINKAQALWTRGKAEITDDEYKAFYKHIAHDFTDPLIWSHNRVEGKQEYTSLLYIPAQAPWDMWNRDHKHGLKLYVQRVFIMDDAEQFMPNYLRFVRGLIDSNDLPLNVSREILQDSRVTQNLRSALTKRVLQMLEKLAKDDAEKYQQFWQQFGMALKEGPAEDGSNKDTIAKLLRFASTHTDSSAQTVSLEDYVSRMAEGQEKIYYITADSYAAAKNSPHLELFRKKGIEVLLLSDRIDEWMMSYLTEFDGKAFQSVSKADDSLNKLADEERPEQQEADKALEPFVERVKTLLGERVKDVRLTHRLTDTPAIVTTDADEMSTQMAKLFAAAGQQAPEVKYIFELNPEHSLVKRAADVADDTQFAEWVELLLDQALLAERGTLEDPNQFIRRMNQLLTA