Q07QZ3 AF NFT

Putative hydro-lyase RPE_1692

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiei4dbo6n2pc7w6npzzvhp2ty7mjgpqshwheojx3ouk7ypascndsq/metadata.json
IPFS of structure file: 
bafybeig3v3dynm2fhrm5rzv2tgcz7pbyutldvr2nq5d3jell4r4w6utomu/AF-Q07QZ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x777B8f47014a4dE872e1b32733B9fD3c15840A7A
First NFT owner address (bech32): 
genesis1waac73cpffx7suhpkvnn8w0a8s2cgzn68u2cv0
Current NFT ID #508765 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
508765
Accession (UniProt):
Q07QZ3
Name::
Putative hydro-lyase RPE_1692
Experimental Method:
Predicted structure
Sequence source:
Rhodopseudomonas palustris (strain BisA53)

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 Q07QZ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q07QZ3|Y1692_RHOP5 Putative hydro-lyase RPE_1692 OS=Rhodopseudomonas palustris (strain BisA53) OX=316055 GN=RPE_1692 PE=3 SV=1 MTVLAAHRLQGAEPLLPSLQARLACRAGNAQQTAGVAPGFVQGNLAILPEKLAASFHRFCQLNPKPCPIIGMSDVGDPNLPALGRDLDIRTDLPRYRVWRDGELVDEPTDILAHWRDDLVAFVIGCSFSFEEALLADDLPIRHIELGVRVPMYRTNIACAPSGPFAGPMVVSMRPMKPADAIRAVQITSRFPAVHGAPVHLGLPQSIGITDLAKPDYGDPVPINDDEIPVFWACGVTPQAVIAAARVPFAITHSPGLMLVTDLKNKQLAVL