Q52B93 AF NFT

pH-response transcription factor pacC/RIM101

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigofdg34xyfnyo6yvymnfrjwlz2vxl3pgxa5h7sttstpuaalhrruq/metadata.json
IPFS of structure file: 
bafybeic2k3lpnaooqj3uyln4unkrhog42t2vvnswo2bvpogfymtz6rchuq/AF-Q52B93-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE8F4010c6979DA6049cb98C1D24438F53609bACB
First NFT owner address (bech32): 
genesis1ar6qzrrf08dxqjwtnrqay3pc75mqnwktsepw98
Current NFT ID #285713 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
285713
Accession (UniProt):
Q52B93
Name::
pH-response transcription factor pacC/RIM101
Experimental Method:
Predicted structure
Sequence source:
MAGNAPORTHE ORYZAE (STRAIN 70-15 / ATCC MYA-4617 / FGSC 8958)

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 Q52B93 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q52B93|PACC_MAGO7 pH-response transcription factor pacC/RIM101 OS=Magnaporthe oryzae (strain 70-15 / ATCC MYA-4617 / FGSC 8958) OX=242507 GN=RIM101 PE=3 SV=2 MSAQQPSAQPAQQAPATTQAPTTESSSSNSNGNTPAPSTSTTATSQSSDDSLICRWNQCSERFPSAEALYDHICERHVGRKSTNNLNLTCHWNSCRTTTVKRDHITSHIRVHVPLKPHKCDFCGKSFKRPQDLKKHVKTHADDSVLARSPQDPNANLGPGAYRGHASKAPSSYYDHNGHVRTNSSAFGQPHHHQNGHASYYSHPPAPYGGGMYYQPPHMGPRGDIFGHPGAGAYDSRKRGYDDLNDFFGNLKRRQFDASSYAHVGRSLVPLHGALSVHTGGVGGMAAEYMAAPPPSSSVSMGSAGPLAQHYYLPPMPSLRTKNDLEQIDQILEHMQSTVYENSGSSPGAHYGSGSGYDMRHQSPVGIRPPMSDHYGQQQHSPMTAVSSSHGGSPAVTPPSSNLSYTSGHSPGASSAALSPSSRQGSSISYPTLPAAAGSSATAQLGSNFSSVERRLSGGILQSASRDRERESSYDGASTPRGPESVGSPSACSDASGSEPESYDSWVQNMRTIEALRDLVRERLRRGQYDDVEESVNLPPIKTERPDEEKPLYPSLRMS