B8N7I7 AF NFT

Probable alpha-L-arabinofuranosidase B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic2qntszjohbkg47mni76mpgj22npyb3jaoxyrec5qtwomynukemq/metadata.json
IPFS of structure file: 
bafybeiebibbvi7uiy6btcwg7iggfav7wqn2gfv6hty7pl4oapnh4k5xgye/AF-B8N7I7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa7e3031c43CB89a6785102a309F7e2b2e7370dBe
First NFT owner address (bech32): 
genesis15l3sx8zrewy6v7z3q23snalzktnnwrd77emvum
Current NFT ID #3654 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
3654
Accession (UniProt):
B8N7I7
Name::
Probable alpha-L-arabinofuranosidase B
Experimental Method:
Predicted structure
Sequence source:
Aspergillus flavus (strain ATCC 200026 / FGSC A1120 / IAM 13836 / NRRL 3357 / JCM 12722 / SRRC 167)

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 B8N7I7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B8N7I7|ABFB_ASPFN Probable alpha-L-arabinofuranosidase B OS=Aspergillus flavus (strain ATCC 200026 / FGSC A1120 / IAM 13836 / NRRL 3357 / JCM 12722 / SRRC 167) OX=332952 GN=abfB PE=3 SV=1 MSSGLSLERACAVALGIVASASLVAAGPCDIYSSGGTPCVAAHSTTRALYSAYTGALYQVKRGSDGSTTDIAPLSAGGVADAATQDSFCANTTCLITIIYDQSGRGNHLTQAPPGGFNGPESNGYDNLASAVGAPVTLNGKKAYGVFMSPGTGYRNNAASGTATGDEAEGMYAVLDGTHYNSACCFDYGNAEVSNTDTGNGHMEAIYYGDNTVWGSGAGSGPWIMADLENGLFSGLSSKNNAGDPSISYRFVTAVVKGEANQWSIRGANAASGSLSTYYSGARPSASGYNPMSKEGAIILGIGGDNSNGAQGTFYEGVMTSGYPSDATENSVQADIVAAKYAIASLTSGPALTVGSSISLQVTTAGYTTRYLAHDGSTVNTQVVSSSSTTALKQQASWTVRTGLANSACFSFESVDTPGSYIRHYNFALLLNANDGTKQFYEDATFCPQAGLNGQGNSIRSWSYPTRYFRHYENVLYVASNGGVQTFDATTSFNDDVSWVVSTGFA