Q0CTQ7 AF NFT | MOLNFT bioinformatics, blockchain

Probable arabinogalactan endo-beta-1,4-galactanase A

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeig7yrtjc2ozbeppeeuh7g6u3bid2pt2ty5gsq3wp73eyio5ixefva/metadata.json

IPFS of structure file:

bafybeiawmdy7f4jots7xtkclx7adi6jodo25alismlxuce7vosr7ey5zne/AF-Q0CTQ7-F1-model_v2.pdb

First NFT owner address (eip-55):

0xc08C993Bfd6bbC570C5284aE6586e6De38BDACc6

First NFT owner address (bech32):

genesis1czxfjwladw79wrzjsjhxtphxmcutmtxx7asdrw

Current NFT ID #140751 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
140751
Accession (UniProt):
Q0CTQ7
Name::
Probable arabinogalactan endo-beta-1,4-galactanase A
Experimental Method:
Predicted structure
Sequence source:
Aspergillus terreus (strain NIH 2624 / FGSC A1156)

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 Q0CTQ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0CTQ7|GANA_ASPTN Probable arabinogalactan endo-beta-1,4-galactanase A OS=Aspergillus terreus (strain NIH 2624 / FGSC A1156) OX=341663 GN=galA PE=3 SV=1 MLLSFLPLLPLATAALTYRGADISSLLIEEDAGIAYKNLNGQTQALESILADNGVNSIRQRLWVNPSDGSYDLDYNLKLAKRAKAAGMSVYLDLHYSDTWADPSHQTTPAGWSTDDIGTLAWQVYNYTKEVCDTFAANDIALEMVSIGNEIRNGLLWPLGATDSYPNIARLLHSGAWGVKDSALATTPQILLHLDNGWDWAAQKYFYDTVLAAGSELTSADFDLIGVSYYPFYNADATLSALKTSLGNLASAYGKKVLVVETNWPVACPNPEYQFPADLADIPFSVDGQSTFLRRLGEVVAGTDGGAGVYYWEPAWTKNAGLGSSCQDNLLVDYNTDQVRASISALGGI