Q0T0F2 AF NFT | MOLNFT bioinformatics, blockchain

Threonine/serine transporter TdcC

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibxszztezvwn765zyfb3sgulqdb6lre4dpstisxkoi7pg465g4kpe/metadata.json

IPFS of structure file:

bafybeic7u2mmc2wrmzsgfhfmr6qpgthcnrlnyyblv5falxz7qawzh6j65u/AF-Q0T0F2-F1-model_v2.pdb

First NFT owner address (eip-55):

0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F

First NFT owner address (bech32):

genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h

Current NFT ID #460468 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
460468
Accession (UniProt):
Q0T0F2
Name::
Threonine/serine transporter TdcC
Experimental Method:
Predicted structure
Sequence source:
Shigella flexneri serotype 5b (strain 8401)

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 Q0T0F2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0T0F2|TDCC_SHIF8 Threonine/serine transporter TdcC OS=Shigella flexneri serotype 5b (strain 8401) OX=373384 GN=tdcC PE=3 SV=1 MSTSDSIVSSQTKQSSWRKSDTTWTLGLFGTAIGAGVLFFPIRAGFGGLIPILLMLVLAYPIAFYCHRALARLCLSGSNPSGNITETVEEHFGKTGGVVITFLYFFAICPLLWIYGVTITNTFMTFWENQLGFAPLNRGFVALFLLLLMAFVIWFGKDLMVKVMSYLVWPFIASLVLISLSLIPYWNSAVIDQVDLGSLSLTGHDGILITVWLGISIMVFSFNFSPIVSSFVVSKREEYEKDFGRDFTERKCSQIISRASMLMVAVVMFFAFSCLFTLSPANMAEAKAQNIPVLSYLANHFASMTGTKTTFAITLEYAASIIALVAIFKSFFGHYLGTLEGLNGLILKFGYKGDKTKVSLGKLNTLSMIFIMGSTWVVAYANPNILDLIEAMGAPIIASLLCLLPMYAIRKAPSLAKYRGRLDNVFVTVIGLLTILNIVYKLF