Q9M358 AF NFT

UV-stimulated scaffold protein A homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiep6nye6zrdfivvljlsle35n6l3dzqbsh3kvkybgwcwgdb5ycmsei/metadata.json
IPFS of structure file: 
bafybeihmu75prziba7tqa7cbknqapb4ftpeharentingk47ubzsrjcfoae/AF-Q9M358-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9DF183349B8fe79e50431aA1CD89D989926F9f0f
First NFT owner address (bech32): 
genesis1nhccxdym3lneu5zrr2sumzwe3xfxl8c0m8rex4
Current NFT ID #494199 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
494199
Accession (UniProt):
Q9M358
Name::
UV-stimulated scaffold protein A homolog
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9M358 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9M358|UVSSA_ARATH UV-stimulated scaffold protein A homolog OS=Arabidopsis thaliana OX=3702 GN=At3g61800 PE=3 SV=1 MEGRDDGGGKVIGLIEKATKSTAQEVDPRLLKAIKSIVRYSDSEVRLSSQTLMELMRHNHSQVRYLTLFIIDELFMRSKLFRTLIIENLDQLLSLSIGFRSNLPLPAPPAVATTLRSKAIEFLEKWNLSFGFHYKELRLGFDYLKNTLKLKFPDLQANAARIQRERQEREMKTKEILRNKFDSLRVSFGLFKYEIEVTIKEIKECMEIVQWRGDDGVPLAILDEEDFEEIRCSHLRQIRLDSLKQSEKVEETGENRIVFDVLREQCKLLVTKHLISVQEGISLLIRVDVSDNRTRDSMLKDLIDIRNNILAAKKKWEEAGFTMSRMTDIHGNEETNEEEEDIWEEDDGKVKTDSVKNVAHVMRTQQSENSSLPSSGEAKKSTSEARSNKVSNTKKVGSSGNSLRDKLISEAPVMNWGSQLTNWESTTEVRANYRGLEIESHWGRVDQDAIIPADKIAELNLQATVYREERTETPPCRASLKKGGLCQRRDLRVCPFHGPIVPRDDEGNTIIQESPLDESENQTSSTSGTNQDVSMDETTSDSDPNQLARQIAKEALKNIREKDKEVVRKRAKLVKVKVKEHNHEVLRGAAIASTSRSNAMDDEFDRVFAEKKNKKQTFSTRRKKTTAKDRISQRLFSNRVKGTNPQQLAQGNDEKCRDTSANQW