Q64343 AF NFT

ATP-binding cassette sub-family G member 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeievxkhibydzk2agdepktbr7owc6kpja3wqjqierlgzqufut4sava4/metadata.json
IPFS of structure file: 
bafybeicsg4td4cojbtvzvt6bg5mcwhqftjkbsja7howddcvetmbfgilge4/AF-Q64343-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x26D3C47A86831ff95e84759c65F671f9744Fa55e
First NFT owner address (bech32): 
genesis1ymfug75xsv0ljh5ywkwxtan3l96ylf27shv8a2
Current NFT ID #3506 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
3506
Accession (UniProt):
Q64343
Name::
ATP-binding cassette sub-family G member 1
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 Q64343 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q64343|ABCG1_MOUSE ATP-binding cassette sub-family G member 1 OS=Mus musculus OX=10090 GN=Abcg1 PE=1 SV=1 MACLMAAFSVGTAMNASSYSAAMTEPKSVCVSVDEVVSSNVDEVETDLLNGHLKKVDNNFTEAQRFSSLPRRAAVNIEFKDLSYSVPEGPWWKKKGYKTLLKGISGKFNSGELVAIMGPSGAGKSTLMNILAGYRETGMKGAVLINGMPRDLRCFRKVSCYIMQDDMLLPHLTVQEAMMVSAHLKLQEKDEGRREMVKEILTALGLLPCANTRTGSLSGGQRKRLAIALELVNNPPVMFFDEPTSGLDSASCFQVVSLMKGLAQGGRSIVCTIHQPSAKLFELFDQLYVLSQGQCVYRGKVSNLVPYLRDLGLNCPTYHNPADFVMEVASGEYGDQNSRLVRAVREGMCDADYKRDLGGDTDVNPFLWHRPAEEDSASMEGCHSFSASCLTQFCILFKRTFLSIMRDSVLTHLRITSHIGIGLLIGLLYLGIGNEAKKVLSNSGFLFFSMLFLMFAALMPTVLTFPLEMSVFLREHLNYWYSLKAYYLAKTMADVPFQIMFPVAYCSIVYWMTSQPSDAVRFVLFAALGTMTSLVAQSLGLLIGAASTSLQVATFVGPVTAIPVLLFSGFFVSFDTIPAYLQWMSYISYVRYGFEGVILSIYGLDREDLHCDIAETCHFQKSEAILRELDVENAKLYLDFIVLGIFFISLRLIAYFVLRYKIRAER