A0KL02 AF NFT

Serine/threonine transporter SstT

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieruojcvrowxjry7vqvrjbwxr5tllx3uyvkoz3xivckn6e5sgkrom/metadata.json
IPFS of structure file: 
bafybeiatkds7tzwgvgorjy6kxdjno7srrdndn6ntpz3dzs22asqjqwn5jm/AF-A0KL02-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3
First NFT owner address (bech32): 
genesis1gmhu57ydqw37s7w6ekuk254t3w78ug9ndfc7sx
Current NFT ID #438596 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
438596
Accession (UniProt):
A0KL02
Name::
Serine/threonine transporter SstT
Experimental Method:
Predicted structure
Sequence source:
Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049)

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 A0KL02 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0KL02|SSTT_AERHH Serine/threonine transporter SstT OS=Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049) OX=380703 GN=sstT PE=3 SV=1 MTQQHPLVRLVNSTSLVSQILVGLVFGILLAMFMPEWAKTAGLLGSLFVGALKAVAPLLVFVLVMAAIIGHKQGQKTNMKPILLLYLLGTFLAAAVAVVASFLFPSNLHLVANSAEITPPGGITEVLQTLLFNVVTNPVKALLDANYIGILAWAIGLGIAMRHASEGTKAVITDLSHGVSTIVKAVIRCAPLGILGLVASTLAETGFDALFGYAQLLVVLIGCMLFIAFVVNPLIVFWKIKRNPYPLVLTCLKESGVTAFFTRSSAANIPVNMALAEKLRLPEDTYAVSIPLGATINMAGAAITITVLSMAAVHTLGMEVDLATAILLSVVATISACGASGVAGGSLLLIPLACSLFGISNDIAMQVVAVGFIIGVLQDSAETALNSSTDVLFTAAACMAEDETLLDAAPVPNSEA