Q7T338 AF NFT

FGFR1 oncogene partner 2 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiddck244vlci6tyjfbcfzvmjcffsehvfsqyn25jyi5ysecsgdyw2e/metadata.json
IPFS of structure file: 
bafybeibme2kthajzwqaqgl6i7jppqz3aqivkhnsbiff2b2vxvmyq2thofa/AF-Q7T338-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x41a9836823BeB4EB0161DC20d3D4146ed9C71F0C
First NFT owner address (bech32): 
genesis1gx5cx6prh66wkqtpmssd84q5dmvuw8cvmfzwpn
Current NFT ID #129996 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
129996
Accession (UniProt):
Q7T338
Name::
FGFR1 oncogene partner 2 homolog
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q7T338 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7T338|FGOP2_DANRE FGFR1 oncogene partner 2 homolog OS=Danio rerio OX=7955 GN=fgfr1op2 PE=2 SV=1 MTCTLEKVLADAKSLVERLRDHDSAAEILIEQTTLLNKRVEAMKQYQEEIEVLNQVARHRPRSTLVMGIQQENRQIRELQQENKELHTSLEEHQSALELIMSKYREQVFRLLMASKKEDPTIVTQLREQHTNEMQAHIEKINEMATVMRKAIEVDEGRLCEDEERIKRLELENSGLRELLGISREAFLLLKRDDTSDSTSLSPLLTSTDISLRKS