Q3EBL9 AF NFT

Vacuolar protein-sorting-associated protein 37 homolog 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigssrobx7nvv5hpgewigs4mbdv7zb5rbpvtiw57d7w26rw2uqzyd4/metadata.json
IPFS of structure file: 
bafybeiahqo7rdfpcoajlgggdkaq4yg7sqvzbaqmnoao7kabtl3avgyzu3y/AF-Q3EBL9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf083204683ca2b48e920fd04E8375004D7FA0df7
First NFT owner address (bech32): 
genesis17zpjq35reg4536fql5zwsd6sqntl5r0hjlpuxk
Current NFT ID #497588 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497588
Accession (UniProt):
Q3EBL9
Name::
Vacuolar protein-sorting-associated protein 37 homolog 2
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 Q3EBL9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3EBL9|VP372_ARATH Vacuolar protein-sorting-associated protein 37 homolog 2 OS=Arabidopsis thaliana OX=3702 GN=VPS37-2 PE=1 SV=1 MFNFWGSKEQQQGQSRPSPEASATPWYSPSLVTSPSSSRPQTSGQIPSHVSPGEAAGIIAILKDKSVDELRKLLSDKDAYQQFLHSLDQVTIQNNIREELRKETLHLARENLEKEPQIVELRNQCRIIRTSELATAQEKLNELENQREEILKFYSPGSLLHRLQDAMNQVDEESEELQQKFMEKDIDTAAFVQKYKKLRSKYHRRALIHLAAKTSSIG