Q54VQ6 AF NFT

O-phosphoseryl-tRNA(Sec) selenium transferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihzv5cppoy5cplllgj6s5kbmz5ydidzzp5tnwgdxdkzdqlz562lgi/metadata.json

IPFS of structure file:

bafybeidqczmznliskw4dkj43yxygl7ijnmazeor5k55wbs4f45ptuwri6e/AF-Q54VQ6-F1-model_v2.pdb

First NFT owner address (eip-55):

0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F

First NFT owner address (bech32):

genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3

Current NFT ID #434012 owner (web3):

0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
434012
Accession (UniProt):
Q54VQ6
Name::
O-phosphoseryl-tRNA(Sec) selenium transferase
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54VQ6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54VQ6|SPCS_DICDI O-phosphoseryl-tRNA(Sec) selenium transferase OS=Dictyostelium discoideum OX=44689 GN=sepsecs PE=3 SV=1 MNLKNLETCKGLIKGSYIDQAIQGTSQFNKLLETLLIHKKLPNIGYNDKIIELILNEISLMDSNNFIENIGVGEREGRIYSGLVEKRHYGFAHGIGRSGDITEQQPKAAGSSLIQKLTHSLVLDAMKLAGLEQSSLSNCLLLPMATGMTLALTMLTLKSINANNKRYVLWPRIDQKSCLKSIITAGLIPIVIPNQLDGDMIRTDLVAIEDKIKELGVDNILCVFSTTSCFAPRVPDKIIEISEICKRYNIGHIINNAYGLQCSKILHNISQACKLGRVDAFIQSTDKNFMVPVGGAIISGPNSEFIDQISRNYPGRANSSPILDVFITLLSMGKQGWLNLLKERKELLIYFNEQLSKFALENNEKLLNTINENKISFALTLSSNNFNNNEEIISNNNNNNNNTFSMIGSKLFSRSCSGSRVIDLKSNKKLLIGGLEFNNYGSHIDNYSTSYLTVACAIGITKLEIDTFIQRLSKLFNKK

MOLNFT AF v1_w

NFT data

MOLNFT Q54VQ6 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience