Q4WRE4 AF NFT

C2H2 type master regulator of conidiophore development brlA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidldgncub4piiurxaz4a2hyftp2scrboldgccqkjc43xpnnnbzi74/metadata.json
IPFS of structure file: 
bafybeicuuwow2px7kfguev2bgnjolkgmwer62c7amlq5tkuui4dkpadgz4/AF-Q4WRE4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6Ed09D80e98fE15DE51C9E7a8896AbF1f2365C3e
First NFT owner address (bech32): 
genesis1dmgfmq8f3ls4meguneag394t78ervhp7h90qf8
Current NFT ID #46309 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
46309
Accession (UniProt):
Q4WRE4
Name::
C2H2 type master regulator of conidiophore development brlA
Experimental Method:
Predicted structure
Sequence source:
NEOSARTORYA FUMIGATA (STRAIN ATCC MYA-4609 / AF293 / CBS 101355 / FGSC A1100)

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 Q4WRE4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4WRE4|BRLA_ASPFU C2H2 type master regulator of conidiophore development brlA OS=Neosartorya fumigata (strain ATCC MYA-4609 / Af293 / CBS 101355 / FGSC A1100) OX=330879 GN=brlA PE=2 SV=1 MRSQGNMSDRLGVEVDCHSLGSNECPSMGSSFSPLESPTPTPTSIYSQGSLASPSWPENGSYPGHAYDRGTGSTPIRGHFRLASMPSHENMGLPPYSSLDGQDRMAVTDFLPSYDENADQFWLPSDVPKTYDHHVHGLPCPPSMHQYPPMLRSNYRHHPAPYFPESATNPCLSRPIFHHQPERLPPSLSMSHMMPWMGHTESIAPETIAPSQVAPVTPPPSYTDFSNSINTFKTHSPDTPIRSCSLGTVSGADTPLSRLSGGAGEYMDECHQSPIYRDASGVRLQRQPSRKMARKQPSKQSLSLENLPSIIKQVQFKCKEPGCKGRFKRQEHLKRHMKSHSKEKPHVCWVPGCHRAFSRSDNLNAHYTKTHSKRGGRNRYVATLDETSPDYNPDYRGPLTADGRPMPGGTLDESMPSREISMEWDE