A4RLI4 AF NFT

Pescadillo homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifhsczub3263mfnlztyixzofiicjxq2in4tzbooyozoyz4ikcg6xa/metadata.json
IPFS of structure file: 
bafybeihlnv6fgvatrougnzmql4inur7b3gwam42m75y3vtetw3xhyctuyq/AF-A4RLI4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcdea6AA8Fb25F42A8e87150f86F5BDEe506f522E
First NFT owner address (bech32): 
genesis1eh4x428myh6z4r58z58cdadaaegx753w5ndh77
Current NFT ID #294287 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
294287
Accession (UniProt):
A4RLI4
Name::
Pescadillo homolog
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 A4RLI4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4RLI4|PESC_MAGO7 Pescadillo homolog OS=Magnaporthe oryzae (strain 70-15 / ATCC MYA-4617 / FGSC 8958) OX=242507 GN=NOP7 PE=3 SV=1 MGRIKKKGESGAAKNYITRTQAVRKLQISLPDFRKLCIWKGIYPREPRNKKKVSKSATASTTFYYTKDIQYLLHEPLLAKFRDQKVLEKKISRALGRGDVSDAKRLEGNAARPENTGKPSYTLDHVVRERYPTFVDALRDLDDCLSMLFLFANLPATSSVPAKMIARCERLCLEFQHYLIVSHSLQKSFLSIKGIYYQANIQGEDILWLVPYKFNQRVVGDIDFRIMGTFIEFYMTLLGFVNFRLYTSIGLKYPPKFDATKDDKAADLAAFTLEGAGLTSNGAQPDAIMEGTSESTPDPKLQAKVNKLVKELKSGEDEKPKAITNGEGESETPTDAIDKFEPAAPGGDVLLQPSYSTSDPSQLFANCTIYLSREAPRQALEFILRAFGCKRIGWDEVLGDGAFTTNELDPNITHQIVDRPPVTAVDNDEGEDNQTAQKVGGRVPGRIYVQPQWVWDSINDEELKEPNQYAPGAQLPPHLSPFVKARAGQYDPTVPLEEQQTEAEALKGDSDVEDEEEADGAEADEDDDEAVLAIENGEMDVAGSDDDDDEEDEEADAGFGGFSDAEVDDASEDDEQTSAALQRQIELEAELSGKSVKASEADKQAADPKSKAKQQKRKELQRKAKEEAEDLERAKGMLSKKKRKLFEQMTYSNNKKDAESEKLREKRRRIERKMAKGKAT