A5D7H3 AF NFT

Choline transporter-like protein 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeierqjm6hund2ndlyd5gxxrao2fxr25nyerkfky6bkv7v6gsjhp54u/metadata.json
IPFS of structure file: 
bafybeihkmzauirtlqvzl3467dbgoxby5rzqbumu6vrbdobawamqniuih4q/AF-A5D7H3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x429aA010A80A47FF4a2777bB34A2bba144d19df2
First NFT owner address (bech32): 
genesis1g2d2qy9gpfrl7j38w7anfg4m59zdr80jky6jnc
Current NFT ID #80209 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
80209
Accession (UniProt):
A5D7H3
Name::
Choline transporter-like protein 2
Experimental Method:
Predicted structure
Sequence source:
BOS TAURUS

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 A5D7H3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5D7H3|CTL2_BOVIN Choline transporter-like protein 2 OS=Bos taurus OX=9913 GN=SLC44A2 PE=2 SV=1 MGKEQQLYYGKHGTPQKYDPAFRGPIYNRGCTDIICCVFLFLAIVGYVAVGIIAWTHGDPRKVIYPTDSRGQFCGQKGTKNENKPFLFYFNIVKCASPLVLLEFQCPTPQICVEKCPSRYLTYLNAHASEDFEYYKQYCLPGFQKNKGVAEVLRDGDCPAVLIPSKPFAQRCFPAVHAHKGILMVGNETTYEDGLGSRKNITELVEGAKKASGILEARQLAMRIFEDYTVSWYWIIIGLIIAMVLSLLFIILLRFLAGIMVWVMIVMVILVLGYGILHCYMEYARLRGEAGSDVSLVDLGFQTDFRVYLHLRQTWVAFMIILSIVEVIIILLLIFLRKRILIAIALIKEASRAVGYVMCSLLYPLVTFFLLCLCIAYWASTAIFLSTSNEAVYKIFNETSCPVAGKTCNPETFPSSNESRLCPGAHCQFAFYGGESTYHRALLGLQIFNVFMFFWLANFVLALGQVTLAGAFASYYWAMNKPDDLPAFPLFSAFGRALRYHTGSLAFGSLLLAIVQVIRVILEYLDQRLKAAENKFAKFLMSCLKCCFWCLEKFIKFLNRNAYIMIAIYGTNFCTSARNAFFLLMRNIIRVAVLDKVTDFLFLLGKLLIVGSVGILAFFFFTHRIRIVQDTAPSLNYYWVPVVTVVIGSYLIAHGFFSVYGMCVDTLFLCFLEDLERNDGTPERPYFMSLTLKKILNKTNKRQAEA