Q7W690 AF NFT

Putative hydro-lyase BPP3031

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4jiikze7wn5omqrhcbybbenfmdc22kait23jybgo52q5pis2ecq/metadata.json
IPFS of structure file: 
bafybeie77k4yq5dat6dqg2e37hsrfpqng52drgdcaz3qhqubm7e7m2d24e/AF-Q7W690-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #514331 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514331
Accession (UniProt):
Q7W690
Name::
Putative hydro-lyase BPP3031
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PARAPERTUSSIS (STRAIN 12822 / ATCC BAA-587 / NCTC 13253)

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 Q7W690 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7W690|Y3031_BORPA Putative hydro-lyase BPP3031 OS=Bordetella parapertussis (strain 12822 / ATCC BAA-587 / NCTC 13253) OX=257311 GN=BPP3031 PE=3 SV=1 MRRPVPYHRVAAIMTILSLAGAGHQARLDARGGMLTGPTANLAPGHVQANLAILPQAVAGDFLRFCQRNPKPCPLLAVSEPGDPSLPELGLDIDIRTDVPRYRVWRDGKLVDEPLDVRGLWRDDLVAFLIGCSFSFEEAMLENGLPVRHIEQGCNVPMYRTNIATHPAGPFSGPLVVSMRPLKAADAIRAIQVTSRFPSVHGAPVHLGDPALIGIADLGRPDYGDAVEIRAGEIPVFWACGVTPQSVVAAVRPEFCITHAPGHMLVTDLLNSRLAAF