Q7Q9I4 AF NFT

Cytoplasmic tRNA 2-thiolation protein 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeichxxkasgbmjjy2bslkmxb74tuiadeil7ugxa47ksz6ryc4b6u6uu/metadata.json
IPFS of structure file: 
bafybeihck6acvetaxblbnlk3nneghdoe7cochkosr3ektv4rzxecifaymu/AF-Q7Q9I4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x35612D34a32C306CA4fc1edA9360D1F717e25950
First NFT owner address (bech32): 
genesis1x4sj6d9r9scxef8urmdfxcx37ut7yk2swrdlap
Current NFT ID #80536 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
80536
Accession (UniProt):
Q7Q9I4
Name::
Cytoplasmic tRNA 2-thiolation protein 1
Experimental Method:
Predicted structure
Sequence source:
ANOPHELES GAMBIAE

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 Q7Q9I4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7Q9I4|CTU1_ANOGA Cytoplasmic tRNA 2-thiolation protein 1 OS=Anopheles gambiae OX=7165 GN=AGAP005220 PE=3 SV=3 MPVPCGSSCGRNAFMRRPKTGDTLCKECFFLAFETEIHNTIQQEQLFRPGEKVAIAASGGKDSTVLAHVMNLLNKRYNYGLDLVLLSIDEGITGYRDDSLKTVAQNRDDYGMPLRVLSYQELYGWTMDRIVAEIGRSNNCTFCGVFRRQALDRGARLMEVDCVATGHNADDIAETVIMNILRGDTARLRRCCDIKTGSKEADTIPRVKPLKYSYEKEIVMYAHFKKLVYFSTECVFAPNAYRGHARAFLKDLEKVRPSAIMDIIHAGEQLQIKGTVKKPVRGVCGRCGFVSSQQPCKACVLLEGLNRGLPKLGIGKKSKGERMVALQEQQLREKAHLVKNDF