P9WKA0 AF NFT

Signal peptidase I

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif573qnq2y33qzf62a3frebd6wosrwnamomnruue7khq4zjufcswu/metadata.json
IPFS of structure file: 
bafybeieuua7esgsjs2uofnmycqbolrdm3qb2venaauzjp7dxlivihyhry4/AF-P9WKA0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD5bf898F66688040Aa805A8ff7313dC69c1239Ca
First NFT owner address (bech32): 
genesis16klcnrmxdzqyp25qt28lwvfac6wpyww2prhrrv
Current NFT ID #209955 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
209955
Accession (UniProt):
P9WKA0
Name::
Signal peptidase I
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WKA0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WKA0|LEP_MYCTO Signal peptidase I OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=lepB PE=3 SV=1 MTETTDSPSERQPGPAEPELSSRDPDIAGQVFDAAPFDAAPDADSEGDSKAAKTDEPRPAKRSTLREFAVLAVIAVVLYYVMLTFVARPYLIPSESMEPTLHGCSTCVGDRIMVDKLSYRFGSPQPGDVIVFRGPPSWNVGYKSIRSHNVAVRWVQNALSFIGFVPPDENDLVKRVIAVGGQTVQCRSDTGLTVNGRPLKEPYLDPATMMADPSIYPCLGSEFGPVTVPPGRVWVMGDNRTHSADSRAHCPLLCTDDPLPGTVPVANVIGKARLIVWPPSRWGVVRSVNPQQGR