Q9DCQ3 AF NFT

Vesicle transport protein GOT1A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeido4piyihwergrujed3yornqnl7b5bg23rgbb76zznk2bfmcxcxie/metadata.json
IPFS of structure file: 
bafybeifygvypyrgsarvuayz3k3j5vqaplbikw5scpjo2kusyez5v6aj6je/AF-Q9DCQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x54E712e282c590D9A20961451A63f1380e0a3dD4
First NFT owner address (bech32): 
genesis12nn39c5zckgdngsfv9z35cl38q8q50w5w722p5
Current NFT ID #155082 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
155082
Accession (UniProt):
Q9DCQ3
Name::
Vesicle transport protein GOT1A
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9DCQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DCQ3|GOT1A_MOUSE Vesicle transport protein GOT1A OS=Mus musculus OX=10090 GN=Golt1a PE=2 SV=1 MISITEWQKIGVGITGFGVFFILFGILLYFDSVLLAFGNLLFLTGLSLIIGLRRTFAFFFQRHKLKGTSFFLGGVAIVLLRWPLLGMLLEAYGFISLFKGFFPVVFGFLGSAFNIPFLSTLFQKLQGSSSSMV