Q9FM96 AF NFT

Glucosidase 2 subunit beta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic4jnqlhgvmekihozokonbkvu7aljpdl66a5lw4ncxter3f5re5q4/metadata.json
IPFS of structure file: 
bafybeib6mldnzkmzimb4s4wkxzwrdnvjjrwzz6aqhg7aipfpvqtj3jctze/AF-Q9FM96-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x42fB943ABB54FcE752274CE38bcF736f69B067D1
First NFT owner address (bech32): 
genesis1gtaegw4m2n7ww538fn3chnmnda5mqe73g0kuj9
Current NFT ID #316995 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
316995
Accession (UniProt):
Q9FM96
Name::
Glucosidase 2 subunit beta
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9FM96 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FM96|PSL4_ARATH Glucosidase 2 subunit beta OS=Arabidopsis thaliana OX=3702 GN=PSL4 PE=2 SV=1 MRVVVISSFVSVSLQLSFLLLLASAIRSSSSPPNDPFLGISPQDEKYYKSSSEIKCKDGSKKFTKAQLNDDFCDCSDGTDEPGTSACPTGKFYCRNAGHSPVILFSSRVNDGICDCCDGSDEYDGHVSCQNTCWEAGKAARENLKKKIETYNQGLVIRRQEIEQAKVGLEKDAAELKKLKSEQKILKGLVDQLKDRKEQIEKVEEKERLQKEKEEKEKKEAELAAQQGKGDAEEKTDDSEKVEESSHDEGTPAVSQHDETTHHDEIGNYKDYPSDEEPAAEGEPTSILDEATHTNPADEHVVERKEESTSSEDSSSPTDESQNDGSAEKEESDEVKKVEDFVTEKKEELSKEELGRLVASRWTGEKSDKPTEADDIPKADDQENHEHTPITAHEADEDDGFVSDGDEDTSDDGKYSDHEPEDDSYEEEYRHDSSSSYKSDADDDVDFSETTSNPTWLEKIQKTVKNILLAVNLFQTTPVDKSEADRVRKEYDESSSKLNKIQSRISSLEKKLKQDFGPEKEFYSFHGRCFESKQGKYTYKVCAYKEATQEEGYSKTRLGEWDKFENSYQFMSYTNGEKCWNGPDRSLKVKLRCGLKNELMDVDEPSRCEYAAILSTPARCLEDKLKELQQKLEKLMNQDKPQNHDEL