A7TGI5 AF NFT

Cytoplasmic tRNA 2-thiolation protein 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeietgnn2ulpgj6yuvtb6ws32dulfar54edjiwhfl5ibdzl2vsjc7hq/metadata.json
IPFS of structure file: 
bafybeicwg4lunjp46g3p4g53yxcxo77zthbu5zarzipwonxfm27rrmwwr4/AF-A7TGI5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #80630 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
80630
Accession (UniProt):
A7TGI5
Name::
Cytoplasmic tRNA 2-thiolation protein 2
Experimental Method:
Predicted structure
Sequence source:
Vanderwaltozyma polyspora (strain ATCC 22028 / DSM 70294 / BCRC 21397 / CBS 2163 / NBRC 10782 / NRRL Y-8283 / UCD 57-17)

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 A7TGI5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7TGI5|CTU2_VANPO Cytoplasmic tRNA 2-thiolation protein 2 OS=Vanderwaltozyma polyspora (strain ATCC 22028 / DSM 70294 / BCRC 21397 / CBS 2163 / NBRC 10782 / NRRL Y-8283 / UCD 57-17) OX=436907 GN=NCS2 PE=3 SV=1 MSDSHSHSDILLCQRCNKNHASVISRKEKFCTDCFRNFVSLKQRKQMMSDQYYQDIFKVMYKDKLRSEQDAHLQNLNSKILVPLSFGSSSLVMLDILNDTLLEQSITHRGKTGFTVDVIICFHDEQIQNQIKENVSKLINAKYKENNQKIKFHLVDINQFFDNSPHLQSLVLQETDFLIKSLNLKDQSIIEKKLTLSEILDQCSDRSTYQDLLAFVTKHAIKKYAFQHDFKAILWGHSMTRLADEVISLIVKGRGSAISSSLNTDDFDENYGNKFKNLYPLKDILLTEIDAYCYNSGLHNYLINYNIQDALLVNKINQNTDKIQTNSLKNKTINELARNYFEVIEGDYSNVISTVVRTGDKLAEPKSQENFKISKCNLCMQKIYSDPSQWITSITENKGHPLETDEEKENYQRWKNYNNDKLKNSEMDFFRLNEFVKENGSKACLCYGCTITLNTFKDKSVVWPVHDDKELNSVLEDYVLTDHEE