Q9K7V0 AF NFT

Probable transcriptional regulatory protein BH3259

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibfjbwvp5jcnrrfslylja4k46wminjdhzqw25npburb2eb36udncq/metadata.json
IPFS of structure file: 
bafybeiddfx2xlm6dyqxrkfjkecb4sk2f7h24qayctcdzg2jgvneadakhpi/AF-Q9K7V0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEC4315276CF5E0975da2A0E3aB9F358edD5f0BF4
First NFT owner address (bech32): 
genesis1a3p32fmv7hsfwhdz5r36h8e43mw47zl56fap7y
Current NFT ID #514932 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514932
Accession (UniProt):
Q9K7V0
Name::
Probable transcriptional regulatory protein BH3259
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125)

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 Q9K7V0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9K7V0|Y3259_ALKHC Probable transcriptional regulatory protein BH3259 OS=Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125) OX=272558 GN=BH3259 PE=3 SV=1 MGRKWNNIKEKKAAKDKNTSRIYAKFGREIYVAAKQGEPDPELNQALKFVLERAKTYNVPKAIIERAIEKAKGGSDETFDELRYEGFGPSGSMVIVDALTNNVNRTASEVRAAFGKNGGNMGVSGSVAYMFDQTAIIGVQGKTEEDVLELLMEADLDVRDLVQEDEVTIVYAEPDQFHAVQEAFKQTGVEEFVVAEISMIPQTEVSLSQEDQEQFEKLIDVLEDLEDVQQVYHNVDLGE