Q9NFU0 AF NFT

Synaptic functional regulator FMR1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifowjyj3ctnhwn5z6x3k2fickida7xtnhy5gr5sor526ibevmcmti/metadata.json
IPFS of structure file: 
bafybeibtj7srofjysft2lmexjllyoobzq57c6easjmruyoei4dyuhz63ca/AF-Q9NFU0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x061709E5c590470B2a4D9a39A6B73b43637aa6A5
First NFT owner address (bech32): 
genesis1qctsnew9jprsk2jdngu6ddemgd3h4f49x6jrnq
Current NFT ID #133122 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
133122
Accession (UniProt):
Q9NFU0
Name::
Synaptic functional regulator FMR1
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 Q9NFU0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9NFU0|FMR1_DROME Synaptic functional regulator FMR1 OS=Drosophila melanogaster OX=7227 GN=Fmr1 PE=1 SV=1 MEDLLVEVRLDNGAYYKGQVTAVADDGIFVDVDGVPESMKYPFVNVRLPPEETVEVAAPIFEEGMEVEVFTRTNDRETCGWWVGIIKMRKAEIYAVAYIGFETSYTEICELGRLRAKNSNPPITAKTFYQFTLPVPEELREEAQKDGIHKEFQRTIDAGVCNYSRDLDALIVISKFEHTQKRASMLKDMHFRNLSQKVMLLKRTEEAARQLETTKLMSRGNYVEEFRVRDDLMGLAIGSHGSNIQAARTVDGVTNIELEEKSCTFKISGETEESVQRARAMLEYAEEFFQVPRELVGKVIGKNGRIIQEIVDKSGVFRIKVSAIAGDDEQDQNIPRELAHVPFVFIGTVESIANAKVLLEYHLSHLKEVEQLRQEKMEIDQQLRAIQESSMGSTQSFPVTRRSERGYSSDIESVRSMRGGGGGQRGRVRGRGGGGPGGGNGLNQRYHNNRRDEDDYNSRGDHQRDQQRGYNDRGGGDNTGSYRGGGGGAGGPGNNRRGGINRRPPRNDQQNGRDYQHHNHTTEEVRETREMSSVERADSNSSYEGSSRRRRRQKNNNGPSNTNGAVANNNNKPQSAQQPQQQQPPAPGNKAALNAGDASKQNSGNANAAGGASKPKDASRNGDKQQAGTQQQQPSQVQQQQAAQQQQPKPRRNKNRSNNHTDQPSGQQQLAENVKKEGLVNGTS