Q09TM2 AF NFT

Low affinity immunoglobulin gamma Fc region receptor III-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieeau43owo56srnqlvn4frtjnndlo3c5euttvy6xzhpcf6wq4qu5y/metadata.json
IPFS of structure file: 
bafybeigssrudz2hqapvew72seo2q4kcvzmvvev37onahqymb4sf2mnrsxu/AF-Q09TM2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC8051e607417A2890274BC226Eb475379945EA5C
First NFT owner address (bech32): 
genesis1eqz3ucr5z73gjqn5hs3xadr4x7v5t6jursnv0w
Current NFT ID #127955 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
127955
Accession (UniProt):
Q09TM2
Name::
Low affinity immunoglobulin gamma Fc region receptor III-A
Experimental Method:
Predicted structure
Sequence source:
Papio anubis

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 Q09TM2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q09TM2|FCG3A_PAPAN Low affinity immunoglobulin gamma Fc region receptor III-A OS=Papio anubis OX=9555 GN=FCGR3A PE=2 SV=1 MWQLLLPTALLLLVSAGMRAEDLPKAVVFLEPQWYRVLEKDSVTLKCQGAYSPEDNSTRWFHNESLISSQTSSYFIAAARVNNSGEYRCQTSLSTLSDPVQLEVHIGWLLLQAPRWVFKEEDSIHLRCHSWKNTLLHKVTYLQNGKGRKYFHQNSDFYIPKATLKDSGSYFCRGLIGSKNVSSETVNITITQDLAVSSISSFFPPGYQVSFCLVMVLLFAVDTGLYFSVKKSIPSSTSDWKDHKFKWSKDPQDK