Q87S24 AF NFT

Chaperone protein HscA homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihboqgxfwzc3ltoywkdq4ednvufghtarn7riyektpfbklojlw7qji/metadata.json
IPFS of structure file: 
bafybeid553panjmx2m3md3spoojfisjrto52gswntyaddvic3rffmmv65a/AF-Q87S24-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd32AB9A0bD3424Dd2967E6fD3d3E7c1f3833E0bD
First NFT owner address (bech32): 
genesis16v4tng9axsjd62t8um7n60nuruur8c9acqxh53
Current NFT ID #177635 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
177635
Accession (UniProt):
Q87S24
Name::
Chaperone protein HscA homolog
Experimental Method:
Predicted structure
Sequence source:
VIBRIO PARAHAEMOLYTICUS SEROTYPE O3:K6 (STRAIN RIMD 2210633)

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 Q87S24 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q87S24|HSCA_VIBPA Chaperone protein HscA homolog OS=Vibrio parahaemolyticus serotype O3:K6 (strain RIMD 2210633) OX=223926 GN=hscA PE=3 SV=1 MALLQIAEPGQSSAPHEHKLAAGIDLGTTNSLVASVRSGDATTLNDEQGRSILPSVVNYSAESTVVGYDAKAKAEFEPENTIISVKRLIGRSLKDIQSRYPSLPYRFKESDNGLPVLQTAQGDKNPIEVSADILKALGKRAEETLGGDLAGVVITVPAYFDDAQRAGTKDAAKLAGLHVLRLLNEPTAAAIAYGLDSGQEGVIAVYDLGGGTFDISILRLSKGVFEVLATGGDSALGGDDFDHLLADYLMEQAGLEAPLSAEKNRALLNIATATKIAFSEQDSVEVDVFGWKGTVTREQFEDLIRPLVKKTLMSCRRALKDADVEAEEVLEVVMVGGSTRTLLVREMVGEFFGRTPLTSINPDEVVAIGAGIQADILAGNKPDSEMLLLDVIPLSLGIETMGGLVEKIIPRNTTIPVARAQEFTTFKDGQTAMSVHVVQGEREMVDDCRSLARFSLKGIPPMAAGAAHIRVTYQVDADGLLSVTAMEKSTGVQSEIQVKPSYGLSDNEVANMLRDSMTHAKEDMQARALAEQRVEADRVIEGLIAAMQADGDELLSEQEKQDLLKAIEALIELRNGDDANAIEQGIKDTDKASQDFASRRMDKSIRAALSGQSVDDI