Q66G93 AF NFT

Cell division protein ZapB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiemdr7mfondynhkshizhl2wtr4oytj2piciwimduaffsquwye4gu4/metadata.json
IPFS of structure file: 
bafybeifr4hyh7j4f4y27rz4vlibbto742u25on3vrludefuluxnfnufohu/AF-Q66G93-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x97EfFf2d74994e28D3b69b1503Bd9c292B2Df480
First NFT owner address (bech32): 
genesis1jlhl7tt5n98z35aknv2s80vu9y4jmayqa9azdg
Current NFT ID #539670 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
539670
Accession (UniProt):
Q66G93
Name::
Cell division protein ZapB
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 Q66G93 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66G93|ZAPB_YERPS Cell division protein ZapB OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=zapB PE=3 SV=1 MSFEVFEKLEVKVQQAIDTITLLQMEIEELKEKNNTLTQEVQDAAGSREALVRENEQLKQEQHVWQDRLRALLGKMEEV