Q66EQ5 AF NFT

Co-chaperone protein DjlA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicwpqf2qk6fgzw7rhrlmoo3ongnrwul67p3a62a3ost7enry2xsgq/metadata.json
IPFS of structure file: 
bafybeiaobcm4ttmjpuii6vainfekfu4vahvbqo5phpnxauuchvbqd4boxy/AF-Q66EQ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2A9498fD6F98253d8CFCDFab48b490754a953457
First NFT owner address (bech32): 
genesis1922f3lt0nqjnmr8um7453dysw49f2dzhzpyp8c
Current NFT ID #98693 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
98693
Accession (UniProt):
Q66EQ5
Name::
Co-chaperone protein DjlA
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 Q66EQ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66EQ5|DJLA_YERPS Co-chaperone protein DjlA OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=djlA PE=3 SV=1 MRYWGKLLGLVLGVMYAPGVVGALLGLLVGHMVDRALGAKRRGFFADQQTRQSLFFRTTFQVMGHLTKAKGRVTEVDIQLASQLMDRMQLHGAARTAAQQAFREGKESHFPLRKTLQEFRRVCFGRFDLIRIFLEIQLQAAFADGSLHPNERQVLYVIAEELGISRGQFDQFLRMFDGGRQFGGHGGWQGQQGGYSQSGYQRAPQGPTLEDACKVLGVNSSDDSVAIKRAYRKLMGEHHPDKLVAKGLPPEMMEMAKQKAQEIQAAYDLIKREKGFK