P54982 AF NFT

Phytoene desaturase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid7lzyfz2sg23tkk4lzrk7bcvn2uswwj3ozmm2fxgrm4lmwxos2ha/metadata.json
IPFS of structure file: 
bafybeibxfeugkkt77w3f6av5ozklbztcvuhu5k4o7enalr74huybzmxyb4/AF-P54982-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3e37049e850B0AB8Fa1B2Fc54Bced328dd69b6bc
First NFT owner address (bech32): 
genesis18cmsf859pv9t37sm9lz5hnkn9rwknd4umtpv7p
Current NFT ID #77641 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
77641
Accession (UniProt):
P54982
Name::
Phytoene desaturase
Experimental Method:
Predicted structure
Sequence source:
Phycomyces blakesleeanus (strain ATCC 8743b / DSM 1359 / FGSC 10004 / NBRC 33097 / NRRL 1555)

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 P54982 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P54982|CRTI_PHYB8 Phytoene desaturase OS=Phycomyces blakesleeanus (strain ATCC 8743b / DSM 1359 / FGSC 10004 / NBRC 33097 / NRRL 1555) OX=763407 GN=carB PE=3 SV=1 MAPPKHVIIIGAGAGGTATAARLAREGIKVTVVEKNNFGGGRCSLINHNGHRFDQGPSLYLMPKLFEEAFEALDEKIEDHVELLRCHNNYKVHFDDGDKIQLSSDLSRMKPEMERIEGPDGFLRFLDFMKESHTHYEGGVEMAIKQNFETIWKLIRLQYVPALFRLHIFDFVYSRAAKYFKTKKMRMAFTFQSMYMGMSPYDSPAVYNLLQYTEFAEGIWYPKGGFNTVIQKLENIATEKFGARFIYEAPVAKINTDDKGKKVTGVTLQSGEVIEADAVVCNADLVYAYHNLLPPCRWTTNTLAEKKLTSSSISFYWSLKRVVPELDVHNIFLAEAFKESFDEIFTDHKMPSELSFYVNLPSRIDPTAAPPGKDSMIVLVPIGHMKSKTNEAEDYTMIVKRARKMVLEVLERRLGLTNFIDLVEHEEVNDPSIWQKKFNLWRGSILGLSHDVLQVLWFRPSTQDSTGRYKNLFFVGASTHPGTGVPIVLAGSKLTSDQVCDHFGVKVRPSAITSSKRTYAPEDSKSFIWDIIWFLLIALFAATLVLFIAFPQYSEVNQTAASYINNLLPAAFRVPVANLSLTS