Q9CJW3 AF NFT

Co-chaperone protein DjlA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifftvjtzuogbqz4bmiahdtgg4ro32gi4qvo7zj26nq4zmq7lcflcm/metadata.json
IPFS of structure file: 
bafybeiejab4eey6zq7xkyp2bfx7mlbbquolv2n24r2fafyto4fqj4stkqm/AF-Q9CJW3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa10D43235e7f218a851416dd8888614A38c78d21
First NFT owner address (bech32): 
genesis15yx5xg670usc4pg5zmwc3zrpfguv0rfp396nqc
Current NFT ID #98679 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
98679
Accession (UniProt):
Q9CJW3
Name::
Co-chaperone protein DjlA
Experimental Method:
Predicted structure
Sequence source:
PASTEURELLA MULTOCIDA (STRAIN PM70)

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 Q9CJW3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CJW3|DJLA_PASMU Co-chaperone protein DjlA OS=Pasteurella multocida (strain Pm70) OX=272843 GN=djlA PE=3 SV=1 MNFIGKFLGLIIGWKLGGFFGAICGVILGHLGDKKLYELGTVNSSFFKSKITRQSLFMQTTFAVLGHLSKAKGRVTEDDIQLASHLMQQMQLDDANRRLAQEAFTRGKAADFPLRQVIREFRLGCGQRADLLRMFLHVQVQAAFADAQLDQSEKDVLYIVGEELGLSRFQFEQMLAMEFAARQFSRAGYQQQNRYQRDYGYQQHQQQYGGYQQQSGPTVDDAYKVLGVSATDDQQTVKRAYRRLMNENHPDKLVAKGLPKEMLEMAKEKTQQIQSAYDLICKTKGWK