Q17X68 AF NFT

Cell division topological specificity factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihw3naft3yz7ylzokjzwyj63f5kgydzysvlwckmlwryvlyunmij5q/metadata.json
IPFS of structure file: 
bafybeibodt4vi6kvmltd4cwbo7rmo5vsj2dc2xhkroseatqedxn6futesu/AF-Q17X68-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcb1EC5B5B6ffa5F727AeFD9fa20a78E85ca3141c
First NFT owner address (bech32): 
genesis1ev0vtddkl7jlwfawlk06yzncapw2x9qu60jgsf
Current NFT ID #235899 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
235899
Accession (UniProt):
Q17X68
Name::
Cell division topological specificity factor
Experimental Method:
Predicted structure
Sequence source:
Helicobacter acinonychis (strain Sheeba)

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 Q17X68 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q17X68|MINE_HELAH Cell division topological specificity factor OS=Helicobacter acinonychis (strain Sheeba) OX=382638 GN=minE PE=3 SV=1 MSLFDFFKTKGSAATATDRLKLILAKERTLNLPYMEEMRKEIIAVIQKYTKSSDIHFKTLDSNQSVETIEVEIILPK