Q9V3C1 AF NFT

Protein Vhl

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidohobboz7dtnivybphtrbnq4jhs5uryjq32dbm224iupivnddivu/metadata.json
IPFS of structure file: 
bafybeiak2kmzysz2rif7gqrbcu6h2dogwko6ahevqn7qamixmimdwaigrm/AF-Q9V3C1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5dE98e70b9933Af0550a86E7d1628A7E076af841
First NFT owner address (bech32): 
genesis1th5cuu9ejva0q4g2smnazc520crk47zpdxgqr0
Current NFT ID #496290 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
496290
Accession (UniProt):
Q9V3C1
Name::
Protein Vhl
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 Q9V3C1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9V3C1|VHL_DROME Protein Vhl OS=Drosophila melanogaster OX=7227 GN=Vhl PE=1 SV=1 MALQIAQNNRDGQQLVGADQGKVEVYVLFANTTYRTLDLYWVCERERENMYLTLKPFEEVRVNTFTTHSWLFRDYYTGERMHVRSQRIFQPIRVRVPKSQQSPDQLVDVRSEVLIHFPMRSLRENCLWLVARWLIRTSNAPRRIIHGYHIPSTLKQQLLSLLTCIESYSRVAGTRRRR