Q7TQ65 AF NFT

Transmembrane channel-like protein 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiab6t5lyzlp2fibj7dqzfel3g4fcmdq44hmsgm3uox65k6g6shgd4/metadata.json
IPFS of structure file: 
bafybeih6pqbsnpz7vwfzqkzxy6eofjvxj6w7blckw6nxqp5ugm556kmmcy/AF-Q7TQ65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x52BAb491344EB8B6F0405CCB177145b1634c344D
First NFT owner address (bech32): 
genesis122atfyf5f6utduzqtn93wu29k935cdzdhh9fjw
Current NFT ID #468301 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
468301
Accession (UniProt):
Q7TQ65
Name::
Transmembrane channel-like protein 4
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 Q7TQ65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7TQ65|TMC4_MOUSE Transmembrane channel-like protein 4 OS=Mus musculus OX=10090 GN=Tmc4 PE=2 SV=2 MEAWGQSPACSSSRKARTGPSLASVLNDLPSAATLRYRGPGVLPWGTLDEDDDEGGRSLQAFAETAQMESHPSRELPWPMQARRAHRKSQATGQLASGSESRAAYWTRQLSRTKGKMKEGFQTIQPWAWTLKKIGGQFGAGTESYFSLLRFLLFLNLVASVIEICMKLIPTWLEGAPPGPPGPNISSPCGSYIPHTHGLVAFPTQLFNLLSGEGYLEWSPLFYGFYPPRSNLAITYLCSVFAISVIYLLCILRRSVSGLKETLLAESDILTSYSHRVFSAWNFGLCGDVHVRLRQRIILYELQVDLEEAVVRRRAAEQTLSQRAKVWSMRALLNVLVLALLGAAFYGIYWATEYTLTLQETPLVRQTPLFKLLVDYLPSIFISLFNFVLPPVFKFIASLEGYTQSRQIVLILLRTVFLRLASLVFLLVSLWSQITCGGNMEAEGCKACGYNYKEIPCWETRLGQEMYKLVLFDLLMGLLVTLLVQFPRKILCGLCPGALGRLSGTLEFQVPDEVLGLIYAQTVVWVGSFFCPLLPLINTAKFLILFCLKKITLFSIYSPASRTFRASTANFFFPLVLLVGLAISAVPVLYSIFLIPPSKLCGPFRGKLSIWAQIPEAIESLPQTAQNFLYFLGTQAFTVPLLILSSILMMYTVALANCYGRLISELKRQIETEVQNKVFLAQRAVALSSRNGTS