Q0WJ82 AF NFT

Serine/threonine transporter SstT

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig2axmncvyqdl2nft2pwkvdie2f6z63n46qxbjl2bamn5ph3dzg4a/metadata.json
IPFS of structure file: 
bafybeicploiouzstbhqyw5omyi4xz3uhu3r7yy3gvmodjqg3ieecrt3q2u/AF-Q0WJ82-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa62D9E278a4a7e393ABAEF11f424ec107F27E47B
First NFT owner address (bech32): 
genesis15ckeufu2fflrjw46auglgf8vzplj0ermw56umm
Current NFT ID #438731 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
438731
Accession (UniProt):
Q0WJ82
Name::
Serine/threonine transporter SstT
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 Q0WJ82 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0WJ82|SSTT_YERPE Serine/threonine transporter SstT OS=Yersinia pestis OX=632 GN=sstT PE=3 SV=2 MEKTQSVFIRFIVNGSLVKQILIGLVAGIVLALVSTPAAIAVGLLGSLFVGALKAVAPVLVLMLVIASIANHKKGQKTSIRPILFLYVLGTFSAALVAVVVSFIYPSTLILVAESADITPPSGIVEVLHGLLNSIIANPIHALLNANYIGILAWAVGLGIALRHAADTTKALINDMSDAVTLVVRVVIRFAPLGIFGLVASTIAATGFGALQLYAQLLVVLIGCMLLVALVVNPLIVYWKIRRNPYPLVFACLRESGVTAFFTRSSAANIPVNMEMCKKMNLNEDTYSISIPLGATINMAGAAITITVLTLAAVHTLGITVDLPTALLLSVVAAICACGASGVAGGSLLLIPLACSMFGIPNDVAMQVVGVGFIIGVLQDSAETALNSSTDVLFTAAVCQAEDAKLANPDPLAAGKSV