Q9SCP9 AF NFT

Vacuolar protein-sorting-associated protein 37 homolog 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicls3kqw62zteaj7r5wlrpwd3gtwbrue7zmtpl4b3cck6kb35t564/metadata.json
IPFS of structure file: 
bafybeihfm3wiyw7vpggzg42jss3j5kmrwjkn7q7ab65slccti4mig2zpqa/AF-Q9SCP9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #497587 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497587
Accession (UniProt):
Q9SCP9
Name::
Vacuolar protein-sorting-associated protein 37 homolog 1
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 Q9SCP9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SCP9|VP371_ARATH Vacuolar protein-sorting-associated protein 37 homolog 1 OS=Arabidopsis thaliana OX=3702 GN=VPS37-1 PE=1 SV=1 MFNFWGSKDQQQGQSRPQEASSQSPWYSPSLVSSPSSSRPQSSGQISAQVSPGEAAGIIVFLKDKSVDELRKLLSDKDAYQQFLLSLDQVKVQNNIKDELRRETLQLARDNLEKEPQIMELRNQCRIIRTTELATAQEKLNELERQKEEILKFYSPGSLLHKLQEAMNQVDEESEALQEKFLEKEIDTAAFVQKYKKLRTTYHRRALIHLAAKTSNI