Q7CHK5 AF NFT

Cell division protein ZapC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiadatsrixs4dt5h4mddwplg2mtehhlr2fkpggvzclxvq3wx66mjsi/metadata.json
IPFS of structure file: 
bafybeif7hn5gux2szasey7oirwg4ptn42xlytte3befsok57ku6mgsrwxa/AF-Q7CHK5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBDaba9F1bAE78Bc8b4574B9BB809390289445980
First NFT owner address (bech32): 
genesis1hk46nud6u79u3dzhfwdmszfeq2y5gkvqfl30w9
Current NFT ID #539695 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
539695
Accession (UniProt):
Q7CHK5
Name::
Cell division protein ZapC
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 Q7CHK5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7CHK5|ZAPC_YERPE Cell division protein ZapC OS=Yersinia pestis OX=632 GN=zapC PE=3 SV=1 MRIKPDDKWRWYFDTEHDRLMLDLANGMIFRSRFPSKMLTPDAFDESAFCVDDAALYFEFEDQCRQIKLSNEQRSELVLNALVACRFLKPLMPKSWHFVQQPKVLIPQNGELTLVTVLDNGENVRLLVVEPSCSASLCLLAQSQVVLAGRQLVLGDAIKIMNNRLLPLMVEEVNTTTAYDRAV