Q7VMW7 AF NFT

33 kDa chaperonin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicwddzzvhk5hjns4emjvpcsovz6cxanhwroftpnwobynoxsbjr5qy/metadata.json
IPFS of structure file: 
bafybeifxoi2gksk4edy6clilvlwi5vgbs6rtyqoafnwxptcz6dzr66jmcm/AF-Q7VMW7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9D7B50F95DEcF2b800b00D0aC632219403773eD8
First NFT owner address (bech32): 
genesis1n4a4p72aanetsq9sp59vvv3pjsphw0kcz5lhts
Current NFT ID #178110 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
178110
Accession (UniProt):
Q7VMW7
Name::
33 kDa chaperonin
Experimental Method:
Predicted structure
Sequence source:
Haemophilus ducreyi (strain 35000HP / ATCC 700724)

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 Q7VMW7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7VMW7|HSLO_HAEDU 33 kDa chaperonin OS=Haemophilus ducreyi (strain 35000HP / ATCC 700724) OX=233412 GN=hslO PE=3 SV=1 MQHIQDNDKLYRYLFQHRAVRGEWVRLNETFSQTLNTHQYPKAVQHLLGEMLVATSLLTAIMKFEGNITVQIQGDGPLKLAVVNGNEKQQLRALARVQAEIDDQASLAEMVGNGVLVISIIPTEGERYQGVIQLDKPTIRECLEDYFIRSEQLQTHLIIRVGEYAGQAVAAGMLLQIMPDGTGTPEDFEHLMTLAETVKDEELFGLTAEALLYRLFHQEQVEVYPAQTTAFKCGCSRERSGQAMLLLPMAEIEEMLAEKKGVIDMQCECCGTQYFFDKPAIMLLKEEAAKLADLGLT