Q9BQQ7 AF NFT

Receptor-transporting protein 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifwdsr4hdwxugdofi7xih6uiavjxqhbilymo7idknqh7xsknbaiau/metadata.json
IPFS of structure file: 
bafybeihppcq734rbqmnrxs3pisnoktfyfbq3lzpj6orckeb2figmmxeuae/AF-Q9BQQ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC5922a099548713A6F19035D2FD133b543Cd0322
First NFT owner address (bech32): 
genesis1ckfz5zv4fpcn5mceqdwjl5fnk4pu6qez72zpes
Current NFT ID #415382 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
415382
Accession (UniProt):
Q9BQQ7
Name::
Receptor-transporting protein 3
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q9BQQ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9BQQ7|RTP3_HUMAN Receptor-transporting protein 3 OS=Homo sapiens OX=9606 GN=RTP3 PE=1 SV=1 MAGDTEVWKQMFQELMREVKPWHRWTLRPDKGLLPNVLKPGWMQYQQWTFARFQCSSCSRNWASAQVLVLFHMNWSEEKSRGQVKMRVFTQRCKKCPQPLFEDPEFTQENISRILKNLVFRILKKCYRGRFQLIEEVPMIKDISLEGPHNSDNCEACLQGFCAGPIQVTSLPPSQTPRVHSIYKVEEVVKPWASGENVYSYACQNHICRNLSIFCCCVILIVIVVIVVKTAI