Q1CNC9 AF NFT

sn-glycerol-3-phosphate-binding periplasmic protein UgpB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiex2x4khm755u7hnv2hgbmxfact6ammqwig2f3ny3snd7zpklo52m/metadata.json
IPFS of structure file: 
bafybeibypik4qwukfiah7ky2rywf4cbb7dvi4zwazhjk2dye7ssztzm2bi/AF-Q1CNC9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #487953 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
487953
Accession (UniProt):
Q1CNC9
Name::
sn-glycerol-3-phosphate-binding periplasmic protein UgpB
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Nepal516)

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 Q1CNC9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CNC9|UGPB_YERPN sn-glycerol-3-phosphate-binding periplasmic protein UgpB OS=Yersinia pestis bv. Antiqua (strain Nepal516) OX=377628 GN=ugpB PE=3 SV=1 MFNNSIHKVSICIALTLTFSANAMAVTEIPFWHSMEGELGKEVDSIADRFNQSQPDYKIVPVYKGNYEQSLAAGIAAFRSGKAPAILQVYEVGTATMMASKAIKPVYQVFKDANIDFDESVFVPTVAGYYTDSKTGRLLSQPFNSSTPVLYYNKEAFKKAGLDPEQPPKTWQELAADTAKLRAAGSSCGYASGWQGWIQIENFSAWHGQPIASRNNGFDGTDAVLEFNKPLQVKHIQLLSDMNKKGDFTYFGRKDESTSKFYNGDCAITTASSGSLASIRHYAKFNFGVGMMPYDADAKNAPQNAIIGGASLWVMDGKDKETYKGVAEFLQYLVKPEIAAEWHQKTGYLPITTAAYELTKQQGFYEQNPGADVATRQMLNKPPLPYTKGLRLGNMPQIRTVVDEELEAVWTAKKTPQAALDNSVKRGDVLLRRFEQANK