Q667Y5 AF NFT

Chaperone protein HscA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicc4siivrlw5srqsfo5sqloaieqe66tpkf4np4lssgs6n4qtclg4a/metadata.json
IPFS of structure file: 
bafybeiewtfcc34v3adx4wy3eea3zpwarrdqekcoxw5uo2u4cpsary5ntfa/AF-Q667Y5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x14De9B50550E2173e0C98fD70505d1A94f47f847
First NFT owner address (bech32): 
genesis1zn0fk5z4pcsh8cxf3lts2pw3498507z8jfq7sa
Current NFT ID #177641 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
177641
Accession (UniProt):
Q667Y5
Name::
Chaperone protein HscA
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q667Y5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q667Y5|HSCA_YERPS Chaperone protein HscA OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=hscA PE=3 SV=1 MALLQISEPGLTAAPHQRRLAAGIDLGTTNSLVATVRSGKAQTLADEQLADEQLIAGEQLIAGEQLIAGQQLINEKQRDLLPSVVHYHPQGIDVGWKARNLAALDPVNTISSVKRMMGRSLADIVQRYPNLPYQFHASENGLPMIQTARGLVNPVQVSAEILKTLAQRAQAALAGELDGVVITVPAYFDDAQRQGTKDAARLAGLHVLRLLNEPTAAAIAYGLDSGQEGVIAVYDLGGGTFDISILRLSRGVFEVLATGGDSALGGDDFDHLLADWLREQAGVATRDDHGIQRQLLDTAIAAKIALSEAETAVVSVAGWQGEVTREQLESLIAPLVKRTLMACRRALKDAGVTADEILEVVMVGGSTRVPLVREQVGQFFGRTPLTSIDPDKVVAIGAAIQADILVGNKPDSDMLLLDVIPLSLGLETMGGLVEKVIPRNTTIPAARAQEFTTFKDGQSAMMIHVLQGERELVKDCRSLARFTLRGLPPLPAGGAHIRVTFQVDADGLLSVTAMEKSTGVEASIQVKPSYGLSDDEIANMIKDSMANAQSDITARKLAEQQVDAARVLESLQGALAEDAALLSEQESAAIAQAVALLQQQMQGSDPQAIEAATKALDAQTQDFAARRMDASIRRALAGHSVDEV