B2VDB2 AF NFT

Serine/threonine transporter SstT

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidt6kxfhtfml67xbc22iistv6mzsxsv6rqszjcmlt5jagihl27x3y/metadata.json
IPFS of structure file: 
bafybeifcu77435ix3khjgd3tcddqbpjjy4krv7t5ylgw7jn6vyr55kkzpi/AF-B2VDB2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe3c96f8214BA49a269Bd99E09AE17503971805C1
First NFT owner address (bech32): 
genesis1u0yklqs5hfy6y6dan8sf4ct4qwt3spwpqq3dk8
Current NFT ID #438623 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
438623
Accession (UniProt):
B2VDB2
Name::
Serine/threonine transporter SstT
Experimental Method:
Predicted structure
Sequence source:
Erwinia tasmaniensis (strain DSM 17950 / CFBP 7177 / CIP 109463 / NCPPB 4357 / Et1/99)

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 B2VDB2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2VDB2|SSTT_ERWT9 Serine/threonine transporter SstT OS=Erwinia tasmaniensis (strain DSM 17950 / CFBP 7177 / CIP 109463 / NCPPB 4357 / Et1/99) OX=465817 GN=sstT PE=3 SV=1 MSEEKSGLVQRLMQGSLVTQIMVGLVAGIALAWLSKSHALAVGLLGELFVNALKAVAPLLVLVLVISSIANHQQGQKTNIRPIVMLYLLSTFFAAVVAVVASHLLPQNLTLQNASSQIVPPSGILEVLHGLLMSMVTNPIEAVMKANYIGILVWAIGLGFAFRHSSEGTRTFLNDASDAVTRLVRIVIRFAPVGIFGLVASILASTGFDALGQYASLLGLLLGCMLLMALVFNPLLVWWQIRRNPYPLVFTCLRESGVTAFFTRSSAANIPVNMALAKKLGLDEDTYTVSIPIGANISMAGASITITVLTLAAVHTLGIQIDVGSAILLSLVASVCACGASGVAGGSLLLIPVACNMFGIPNEIAMQVVAVGFIIGVLQDSAETALNSSADILFTAAACMAEDRRLEQNA