Q9VNE7 AF NFT

CDC42 small effector protein homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibf6wqc2jn4q5l43ju6mmbsixhhui2q3jtxelq2rntg2kpufzgcyq/metadata.json
IPFS of structure file: 
bafybeier6pnhhiiuzinhphf7exkbr74igxgbdc5gpldmmgrzfu76zsqanu/AF-Q9VNE7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3
First NFT owner address (bech32): 
genesis1gmhu57ydqw37s7w6ekuk254t3w78ug9ndfc7sx
Current NFT ID #48019 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
48019
Accession (UniProt):
Q9VNE7
Name::
CDC42 small effector protein homolog
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VNE7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VNE7|C42ES_DROME CDC42 small effector protein homolog OS=Drosophila melanogaster OX=7227 GN=Spec2 PE=1 SV=2 MASTGEIWLQWFSCCFQQQRSPSRRPHQRLRIDRSMIGNPTNFVHTGHIGSADVELSANRLNAISTQMQSKGGYETNSIHSLHAC