Q32AL3 AF NFT

33 kDa chaperonin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibavbhj2mlorc66hcmf23invpap73qrlwl7dam7cpsp6q2wilddpa/metadata.json
IPFS of structure file: 
bafybeicondfydjx7ghijetz232bnrsccvyge6plcvtz7bfcu7niudap7v4/AF-Q32AL3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9130a41bCa92dF77878ec5A9328e3D47AA08B359
First NFT owner address (bech32): 
genesis1jyc2gx72jt0h0puwck5n9r3ag74q3v6ezwewtr
Current NFT ID #178211 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
178211
Accession (UniProt):
Q32AL3
Name::
33 kDa chaperonin
Experimental Method:
Predicted structure
Sequence source:
Shigella dysenteriae serotype 1 (strain Sd197)

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 Q32AL3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32AL3|HSLO_SHIDS 33 kDa chaperonin OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=hslO PE=3 SV=2 MPQHDQLHRYLFENFAVRGELVTVSETLQQILENHDYPQPVKNVLAELLVATSLLTATLKFDGDITVQLQGDGPMNLAVINGNNNQQMRGVARVQGEIPENADLKTLVGNGYVVITITPSEGERYQGVVGLEGDTLAACLEDYFMRSEQLPTRLFIRTGDVDGKPAAGGMLLQVMPAQNAQQDDFDHLATLTETIKTEELLTLPANEVLWRLYHEEEVTVYDPQDVEFKCTCSRERCADALKTLPDEEVDSILAEDGEIDMHCDYCGNHYLFNAMDIAEIRNNASPADPQVH