A1DMV3 AF NFT

Probable feruloyl esterase B-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia56tbwo7t7juch3noyewsytobifil4o5npuw7av26ao2d5jfypnu/metadata.json
IPFS of structure file: 
bafybeibpliapzn3dc2dnpdoak3xkxcv2n3kocr2ho4pe6vkjtggqotacnq/AF-A1DMV3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x366cE1f17013a0D1c76C8fF1195e460629Fd5dB4
First NFT owner address (bech32): 
genesis1xekwrutszwsdr3mv3lc3jhjxqc5l6hd5tj5fxz
Current NFT ID #126338 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
126338
Accession (UniProt):
A1DMV3
Name::
Probable feruloyl esterase B-2
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 A1DMV3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1DMV3|FAEB2_NEOFI Probable feruloyl esterase B-2 OS=Neosartorya fischeri (strain ATCC 1020 / DSM 3700 / CBS 544.65 / FGSC A1164 / JCM 1740 / NRRL 181 / WB 181) OX=331117 GN=faeB-2 PE=3 SV=1 MTKLSLLPLLALASAVLAKQDAFQAKCASFGHRIKLPNVHVNFVEYVPGGTNLTLPDNHVTCGASSQIVSADMCRVAMAVDTSKSSQITLEAWFPRNYTGRFLSTGNGGLSGCIQYYDLAYTAGLGFATVGANNGHNGTSGKPFYQHPEVIEDFAYRSIHTGVVVGKQLIKMFYSEGFDKSYYLGCSTGGRQGFKSIQKYPNDFDGVVAGAPAFNFVNLISWSIHFYSITGSNTSDTYLSPASWKVVHDEIVRQCDGIDGAKDGIIEDTDLCHPILETIICKPGASSTTNCITGTQAKTVRNVLSPFYGVNGTLLYPRMQPGSELFASSIMYNGQPFSYSTDWYRYVVYNNPNWDATKWTVEDAAVALAQNPYNIQTWDADISSFQKAGGKVLTYHGIQDQLISSDNSKLYYARVAETMGLGPEELDDFYRFFPVSGMAHCSGGDGAYGIGNGLRTYNGAEPENNVLMAMVQWVEKGVAPEFIRGAKFSNGVGSPVEYTRKHCKYPRRNVYKGPGNYSDENAWECV