Q67FQ3 AF NFT

Low density lipoprotein receptor adapter protein 1-B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifimqlgkjjn5kjqz7ig6hz4xq22ubuhqm2xilbec3sny7hhe5kfna/metadata.json
IPFS of structure file: 
bafybeigq72h35nlnfgwmdwyt7d4uvp5gbc3q3oxuvrpcleyy4qj4kyfhju/AF-Q67FQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #22617 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
22617
Accession (UniProt):
Q67FQ3
Name::
Low density lipoprotein receptor adapter protein 1-B
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 Q67FQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q67FQ3|ARHB_XENLA Low density lipoprotein receptor adapter protein 1-B OS=Xenopus laevis OX=8355 GN=ldlrap1-b PE=1 SV=1 MDALKSAGRAIIRSPSIAKQSWGGGKHKKLPENWTDTRETLLEGMLFHLKYLGMTLVEQPKGEELSATAVKRIVATAKASGKKLQKVLLKVSPRGIILYDSASNQLIENVSIYRISYCTADKMHDKVFAYIAQSQQNETLECHAFLCTKRKMAQAVTLTVAQAFKVAFEFWQVSRENKDKREKSGSDGEGASSSQSDGSSSITSLKASASANLLDFEDCTKAFDVLNASDNHIEDLFRQNSTNENNNIVWELDDGLDEAFARLAESRTNPQVLDIGLTANDLQSEECLSPTSWDKLELNPAEADELFMF