Q1QES0 AF NFT

Serine/threonine transporter SstT

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicio43rytnmqtgskc62savhljbas4kikftk2t4ls5zhorn234e3tu/metadata.json
IPFS of structure file: 
bafybeicdayrybixosgm3pda3ixa46rp63i5yhsoqoqbphwfh4ymj3grtzm/AF-Q1QES0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #438666 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
438666
Accession (UniProt):
Q1QES0
Name::
Serine/threonine transporter SstT
Experimental Method:
Predicted structure
Sequence source:
PSYCHROBACTER CRYOHALOLENTIS (STRAIN ATCC BAA-1226 / DSM 17306 / VKM B-2378 / K5)

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 Q1QES0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1QES0|SSTT_PSYCK Serine/threonine transporter SstT OS=Psychrobacter cryohalolentis (strain ATCC BAA-1226 / DSM 17306 / VKM B-2378 / K5) OX=335284 GN=sstT PE=3 SV=1 MRSLIAMYQRIGLVPLIIIGLVLGVLIGWLAPNVGIALGLLGTLFVGALKAVAPILVFVLVMAAISQHRSGNEVYVKPVLIMYMFGTFLAALTAVGASFLFPTELVLVNAVIEQVPPANLKEVLTNLLMNLVANPVQAIAEANYIGILAWAIIIGFALRQASDTARTVVGDFSDAISQVVKWVIALAPFGILGLVANTVAETGFEALAGYARILMVLVGCMLFIALVVNPLIILVKTGKNPYPLVFICLRESGITAFFTRSSAANIPVNMNLARKLGLHEDTYSVTIPLGATINMAGAAITINVLTLAAAHTLGIEVTFASALLLSLVATISACGASGVAGGSLLLIPLAASLFSIPNDIAMQVVAIGFIIGVIQDSAETALNSSTDVLFTAAADPKYAR