Q62011 AF NFT

Podoplanin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidivdrvcyg2kodf46ri3w7tcj7abkzmehzzihhgg3hxr7axh3g54m/metadata.json
IPFS of structure file: 
bafybeift46aoljzwb77j7gjbfh6dqybsx4b4zovhyxm4ck4mok2vfhbpsm/AF-Q62011-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xACf562eCE43b1086A6879785600A6F1cd3014BB9
First NFT owner address (bech32): 
genesis14n6k9m8y8vggdf58j7zkqzn0rnfszjaeng8fjs
Current NFT ID #291017 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
291017
Accession (UniProt):
Q62011
Name::
Podoplanin
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 Q62011 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q62011|PDPN_MOUSE Podoplanin OS=Mus musculus OX=10090 GN=Pdpn PE=1 SV=2 MWTVPVLFWVLGSVWFWDSAQGGTIGVNEDDIVTPGTGDGMVPPGIEDKITTTGATGGLNESTGKAPLVPTQRERGTKPPLEELSTSATSDHDHREHESTTTVKVVTSHSVDKKTSHPNRDNAGDETQTTDKKDGLPVVTLVGIIVGVLLAIGFVGGIFIVVMKKISGRFSP