Q64294 AF NFT

Podoplanin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiclpl6rfuchnmkjbgenlap4na3ohlzthwzbpnttckcnjprwf2i7hq/metadata.json
IPFS of structure file: 
bafybeicsgrnohkruu3j7d4ry2czb6u6zrfu4bjjggo7bgiuyzmru4g7r3u/AF-Q64294-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3DcF12Af844D20c57A4baBD2d4DA6420B9225E45
First NFT owner address (bech32): 
genesis18h839tuyf5sv27jt40fdfknyyzujyhj9mx6cyx
Current NFT ID #291018 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
291018
Accession (UniProt):
Q64294
Name::
Podoplanin
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 Q64294 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q64294|PDPN_RAT Podoplanin OS=Rattus norvegicus OX=10116 GN=Pdpn PE=1 SV=1 MWTAPVLLWVLGSVWFWDSAQGGAIGALEDDLVTPGPGDDMVNPGLEDRIETTDTTGELDKSTAKAPLVPTQPPIEELPTSGTSDHDHKEHESTTTVKAVTSHSTDKKTTHPNRDNAGGETQTTDKKDGLAVVTLVGIIIGVLLAIGFIGGIIIVVMRKISGRFSP