P07175 AF NFT

Protein ParA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiev667xa7z52mokz23ztvre2qkem2avs7565tty3e7i7se3fva53i/metadata.json
IPFS of structure file: 
bafybeif6xwse372abon75iqad34aiiiuweb6mqmfq3dtm2oatqxzfx7qha/AF-P07175-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x31fb92b9280a5F706151D5eb4E15AB3159C53077
First NFT owner address (bech32): 
genesis1x8ae9wfgpf0hqc236h45u9dtx9vu2vrhc5fr4u
Current NFT ID #288358 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
288358
Accession (UniProt):
P07175
Name::
Protein ParA
Experimental Method:
Predicted structure
Sequence source:
RHIZOBIUM RADIOBACTER

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 P07175 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P07175|PARA_RHIRD Protein ParA OS=Rhizobium radiobacter OX=358 GN=parA PE=4 SV=1 MPVVVVASSKGGAGKSTTAVVLGTELAHKGVPVTMLDCDPNRSLTIWANAGEVPENITALSDVTESSIVKTIKQHDVDGAVVIVDLEGVASRMVSRAISQADLVLIPMRPKALDATIGAQSLQLIAEEEEAIDRKIAHAVVFTMVSPAIRSHEYTGIKASLIENGVEIIEPPLVERTAYSALFQFGGNLHSMKSKQGNMAAAIENAEAFAMAIFKKLTEALR