A8AJX0 AF NFT

Chaperone protein HtpG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihkmwiqa7almhpcnfb7fapgd5gpjmzqrsxxj432jooazio2i4b67u/metadata.json
IPFS of structure file: 
bafybeichrnf4sr6ktxgavzn6jamie4vne4mrogjxkeqt7s6wn4ixep2icu/AF-A8AJX0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x278079ff53c25d5184a04C97Cc641066644dc05e
First NFT owner address (bech32): 
genesis1y7q8nl6ncfw4rp9qfjtuceqsvejymsz74hz4pp
Current NFT ID #179996 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
179996
Accession (UniProt):
A8AJX0
Name::
Chaperone protein HtpG
Experimental Method:
Predicted structure
Sequence source:
CITROBACTER KOSERI (STRAIN ATCC BAA-895 / CDC 4225-83 / SGSC4696)

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 A8AJX0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A8AJX0|HTPG_CITK8 Chaperone protein HtpG OS=Citrobacter koseri (strain ATCC BAA-895 / CDC 4225-83 / SGSC4696) OX=290338 GN=htpG PE=3 SV=1 MKGQETRGFQSEVKQLLHLMIHSLYSNKEIFLRELISNASDAADKLRFRALSNPDLYEGDGELRVRVSFDKDKRTLTIADNGVGMNRDDVIDHLGTIAKSGTKSFLESMGSDQAKDSQLIGQFGVGFYSAFIVADKVTVRTRAAGDKPENGVFWESAGEGEYTVADITKDDRGTEITLHLREGEDEFLDDWRVRSIISKYSDHIALPVEIEKQEEKDGETIVSWEKINKAQALWTRNKSEIKDDEYNEFYKHIAHDFTDPLTWSHNRVEGKQEYTSLLYIPSQAPWDMWNRDHKHGLKLYVQRVFIMDDAEQFMPNYLRFVRGLIDSNDLPLNVSREILQDSTVTRNLRSALTKRVLQMLEKLAKDDAEKYQTFWKQFGLVLKEGPAEDHANQEAIAKLMRFASTHTDSSAQTVSLEDYISRMKEGQEKIYYITADSYAAAKSSPHLELLRKKGIEVLLLSDRIDEWMMNYLTEFDGKAFQSVSKVDESLEKLADEVDESAKEAEKALTPFVERVKTLLGDRVKEVRLTHRLTDTPAIVTTDADEMSTQMAKLFAAAGQAVPEVKYIFELNPDHVLVKRTADTQDEAQFNEWVELLLDQALFAERGTLEDPNQFIRRMNQLLVS