Q6IP59 AF NFT

Choline transporter-like protein 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibmbhwfntj2kn6wifhfpa4cwlzvo5kr6tmnb6fqjv4fe7fdf7azfy/metadata.json
IPFS of structure file: 
bafybeigud2z4hjg6xsl2nwrpj4cfbyidck4h4ivyojifmvtefgn4dlf5bi/AF-Q6IP59-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xee747bB73DB28d63168c8f1FC50610B9a0055D30
First NFT owner address (bech32): 
genesis1ae68hdeak2xkx95v3u0u2psshxsq2hfs3adxn6
Current NFT ID #80219 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
80219
Accession (UniProt):
Q6IP59
Name::
Choline transporter-like protein 2
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q6IP59 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6IP59|CTL2_XENLA Choline transporter-like protein 2 OS=Xenopus laevis OX=8355 GN=slc44a2 PE=2 SV=1 MEDDGKSPPDSAYGEPKKYDPNFKGPIQNRGCTDILCCILIVLGIIAYVAVGIVAWTYGDPRKVIYPTDSKGQFCGQVGTPNEKKPFLFYFNIMKCASPLVLLQFQCPTTQICVENCPDRFLTYLSVATTQQNFDYYKQFCRDGFNNFTKSPVEVLRDRDCPAMITPSKPFTRRCFPAINTQKGVVMVGNSTTFDDGRGDKQRNVTDLLEGAKKANVVLEARQVAMKIFEDYTVSWYWIIIGLIIAMVISLIFVVLLRFLAGIMVWVMIVLVIAVMGYGIFHCYMEYARLKGQSGSDVTLKDIGFQTDIRVYLHLRQTWLAFMIILCILEVIVILLLIFLRKRIMIAIALIKEASRAVGFVMSSLVFPLFTFLLVCLCIAYWAITAVFLSTSNEAVYKVFNETQCDFSGNTCNPETFNTTNVTRVCPDATCQFAFYGGETYYHKYLIVFQIYNAFMFLWLANFVIALGQVTLAGAFASYYWAFKKPDDMPAFPIFSSLGRALRYHTGSLAFGSLILAIVQMIRILLEYLDHKLKGADNKCARFLLCCLKCCFWCLEKFIKFLNRNAYIMIAIYGTNFCTSARNAFFLLMRNIIRVAVLDKVTDFLLFLGKLLVVGCVGILAFFFFSRRIQIVQDTAPTLNYYWVPILTVILGSYLIAHGFFSVYGMCVDTLFLCFLEDLERNDGSTERPYFMSGSLQKLLNKSNQTKPDK