Q667L0 AF NFT

UPF0253 protein YPTB2982

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiazryl5kzon2qrhyflykunrglfrfer6ku7zbsvwhsxainpou2542e/metadata.json
IPFS of structure file: 
bafybeifdtzu4esicxvkv5no63je3sb75b77vmofjmm7t7fmhr763slug7a/AF-Q667L0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x084C9507B8890B44F4aE79C08a93A4457A564360
First NFT owner address (bech32): 
genesis1ppxf2pac3y95fa9w08qg4yayg4a9vsmqt2we90
Current NFT ID #514212 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514212
Accession (UniProt):
Q667L0
Name::
UPF0253 protein YPTB2982
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q667L0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q667L0|Y2982_YERPS UPF0253 protein YPTB2982 OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=YPTB2982 PE=3 SV=1 MQQYCELVRRFYAEIGSGDLGYVPDALRCVLKALDEVAANDALPSSVREQAAYAAANLLVSDYVDE