P9WGD6 AF NFT

Signal recognition particle protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibb6f4g7yatfsq6qd5sdevtwpw2pn7l37fpr2xodxijecr6kmxuc4/metadata.json
IPFS of structure file: 
bafybeih3gsd7wutooilfm35gwwv62adzueplpv2su2inxw2napvf6f4c64/AF-P9WGD6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x464347A0759051e04b8aC8716C3E3c0BD65DCb7F
First NFT owner address (bech32): 
genesis1gep50gr4jpg7qju2epckc03up0t9mjml550fe4
Current NFT ID #436740 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436740
Accession (UniProt):
P9WGD6
Name::
Signal recognition particle protein
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 P9WGD6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WGD6|SRP54_MYCTO Signal recognition particle protein OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=ffh PE=3 SV=1 MFESLSDRLTAALQGLRGKGRLTDADIDATTREIRLALLEADVSLPVVRAFIHRIKERARGAEVSSALNPAQQVVKIVNEELISILGGETRELAFAKTPPTVVMLAGLQGSGKTTLAGKLAARLRGQGHTPLLVACDLQRPAAVNQLQVVGERAGVPVFAPHPGASPESGPGDPVAVAAAGLAEARAKHFDVVIVDTAGRLGIDEELMAQAAAIRDAINPDEVLFVLDAMIGQDAVTTAAAFGEGVGFTGVALTKLDGDARGGAALSVREVTGVPILFASTGEKLEDFDVFHPDRMASRILGMGDVLSLIEQAEQVFDAQQAEEAAAKIGAGELTLEDFLEQMLAVRKMGPIGNLLGMLPGAAQMKDALAEVDDKQLDRVQAIIRGMTPQERADPKIINASRRLRIANGSGVTVSEVNQLVERFFEARKMMSSMLGGMGIPGIGRKSATRKSKGAKGKSGKKSKKGTRGPTPPKVKSPFGVPGMPGLAGLPGGLPDLSQMPKGLDELPPGLADFDLSKLKFPGKK