Q5T197 AF NFT

E3 ubiquitin-protein ligase DCST1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif2mk4qfvqe7jp5ungkz7tlb56pjhz6ywmcauo37zrwy53gjrubcm/metadata.json
IPFS of structure file: 
bafybeigkhptgsbkfza4bqyrdvs6cshxpqhyblkxepnffvga5kepm5l7x7i/AF-Q5T197-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1689a1235E93f193D2544B7D6Eb531894Ac60917
First NFT owner address (bech32): 
genesis1z6y6zg67j0ce85j5fd7kadf3399vvzghu5mu4q
Current NFT ID #91711 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
91711
Accession (UniProt):
Q5T197
Name::
E3 ubiquitin-protein ligase DCST1
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q5T197 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5T197|DCST1_HUMAN E3 ubiquitin-protein ligase DCST1 OS=Homo sapiens OX=9606 GN=DCST1 PE=1 SV=1 MDIKHHQNGTRGQRRKQPHTTVQRLLTWGLPVSCSWFLWRQPGEFPVTALLLGAGAGGLLAIGLFQLLVNPMNIYEEQKIMFLYSLVGLGAMGWGTSPHIRCASLLLVPKMLGKEGRLFVLGYALAAIYVGPVANLRHNLNNVIASLGCTVELQINNTRAAWRISTAPLRAMFKDLLSSKELLRAETRNISATFEDLDAQVNSETGYTPEDTMDSGETAQGREARQAPASRLHLSTQKMYELKTKLRCSYVVNQAILSCRRWFDRKHEQCMKHIWVPLLTHLLCLPMKFKFFCGIAKVMEVWCRNRIPVEGNFGQTYDSLNQSIRGLDGEFSANIDFKEEKQAGVLGLNTSWERVSTEVRDYVYRQEARLEWALGLLHVLLSCTFLLVLHASFSYMDSYNHDIRFDNIYISTYFCQIDDRRKKLGKRTLLPLRKAEEKTVIFPCKPTIQASEMSNVVRELLETLPILLLLVVLCGLDWALYSIFDTIRHHSFLQYSFRSSHKLEVKVGGDSMLARLLRKTIGALNTSSETVMESNNMPCLPQPVGLDARAYWRAAVPIGLLVCLCLLQAFGYRLRRVIAAFYFPKREKKRILFLYNDLLKKRAAFTKLRRAAILRRERQQKAPRHPLADILHRGCPLLRRWLCRRCVVCQAPETPESYVCRTLDCEAVYCWSCWDDMRQRCPVCTPREELSSSAFSDSNDDTAYAG