A1DA63 AF NFT

Fumitremorgin C synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicwjwprxamwmf7dd3643qi4d7ebceypm6r3ranrm3ygjaz2w7ga2i/metadata.json
IPFS of structure file: 
bafybeic53ofrz7tw7i7v6lkw5eb5xddmh7js4z42orv45hbxeh2jektkca/AF-A1DA63-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x63813758115e4B97E1a3c5A8F823A937851e907F
First NFT owner address (bech32): 
genesis1vwqnwkq3te9e0cdrck50sgafx7z3ayrlxuknym
Current NFT ID #136959 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
136959
Accession (UniProt):
A1DA63
Name::
Fumitremorgin C synthase
Experimental Method:
Predicted structure
Sequence source:
Neosartorya fischeri (strain ATCC 1020 / DSM 3700 / CBS 544.65 / FGSC A1164 / JCM 1740 / NRRL 181 / WB 181)

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 A1DA63 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1DA63|FTME_NEOFI Fumitremorgin C synthase OS=Neosartorya fischeri (strain ATCC 1020 / DSM 3700 / CBS 544.65 / FGSC A1164 / JCM 1740 / NRRL 181 / WB 181) OX=331117 GN=ftmP450-2 PE=3 SV=1 MERLPLSPAVLFLTITLPILYFWILHTSPARHHGKQLPLPPGPPRLPKIGNLHQVPRQIPWKKYKEWSDTYGPIMSVQLANTIAVVFSSWDLIKTHVERRNTIYSSRPSVPFFLHATGGLNASILPYGPEWKLQRAIRSSVLKPSMTIKYRDVQSMETTQLLHELLSTNDFSVCLRRCIASVFLTVAYGERCADHAGLEAIDRLEELNRAIALHAEALFSGAAGILAQLVLPQALVDRLPVRWKKDADILHNRLTADLVARTRAALARPGWNWVKAFAIKEGTGSGEGDGEQGREVGLKRLAYMVGSLYEASMAASQALRVIILAGILYPDATRRMHDELDAVVGKDRLPDFNDAAQLPYTQAFIKEAMRWRSLTPMGSPRATSDEDECRGYHIPRGATVLVNVWAINHDEGVFLDPFTFKPERWIENPDLPQLLYGMGQRACPGRHMGQDSLFLGTARLFWAFDMALPDGAEAIDQERFLDSGTTLAAFLPDFEVRFTPRSEKHREVIENSVVVSSDVSSVTVAT