Q54KN7 AF NFT

Putative thioredoxin-5

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib3mrwtbg4gq3ljy2j5kjmz3o4x7adz4xcmzktgir2ujgyt5yjidq/metadata.json
IPFS of structure file: 
bafybeievfgspe6x42fw7z44so6vo6tnoix3ec454njyz2cfr3cdvld7kxa/AF-Q54KN7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x605d3052093391F2D57b33217931db4627F892dC
First NFT owner address (bech32): 
genesis1vpwnq5sfxwgl94tmxvshjvwmgcnl3ykutwphzw
Current NFT ID #464798 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
464798
Accession (UniProt):
Q54KN7
Name::
Putative thioredoxin-5
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 Q54KN7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54KN7|THIO5_DICDI Putative thioredoxin-5 OS=Dictyostelium discoideum OX=44689 GN=trxE PE=3 SV=1 MYKEPKNESEYEAELKNAPVAVVYLTATWCGPCRAIAPVFTNISNAPENSKITFFKVDVDALKKLPVCESLQGVPTFIAYRNGEEQERFSGANKVALENMVKKLL