Q9VM65 AF NFT

FGFR1 oncogene partner 2 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifn66o4vieqaduihl3peqipbhkeyp6wj7bq6lgj4xqfnviqhxrudm/metadata.json
IPFS of structure file: 
bafybeiamtsuz4nsm23vbvaueb4idotfftnk3tlylmkshc2wsraqkdc6gni/AF-Q9VM65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1647F35A28688000958944B2f9d235C7c91d22B9
First NFT owner address (bech32): 
genesis1zerlxk3gdzqqp9vfgje0n534cly36g4e32ckre
Current NFT ID #129997 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
129997
Accession (UniProt):
Q9VM65
Name::
FGFR1 oncogene partner 2 homolog
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VM65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VM65|FGOP2_DROME FGFR1 oncogene partner 2 homolog OS=Drosophila melanogaster OX=7227 GN=Fgop2 PE=2 SV=1 MSNLSVGQIIMDAQRMASRVKDLDALGTALLEEAENNNRLVESLRQYQDDIESLNRISNNKTNADMVNRIQQQNINSSEILKENRELKIFIEDYERAMELMMQKYREHTVSKVLDSKFSFKELYNERMWQVIREQREKINEMAAVMQLAASVDDGVVQRELQTISQLRLENETLRELLQISKQYGSSQRPIRESDHLLEEKAVQTDSTADDSADDLSISGASVENMNNNSVIQMYSSPEQPAKVAGTTNSFNTAPVHSQSETQAPSVTLETAPPGEEPLANDNNNGPAVNTTSAPPPATTSNESVEDQATVAPAT