B3Q9J8 AF NFT | MOLNFT bioinformatics, blockchain

Putative hydro-lyase Rpal_1947

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibltbw3ahd6ut6cp46npuxxiw7hxlnk57y565n46yd3dg2qmt6jjq/metadata.json

IPFS of structure file:

bafybeictzoypmqy26xb6rdhx7fjqcq376czw6jbqyiag44hxvpqwk7sg24/AF-B3Q9J8-F1-model_v2.pdb

First NFT owner address (eip-55):

0xBCbF010796f43F87eb3a18895Cb522A7404eFA25

First NFT owner address (bech32):

genesis1hjlszpuk7slc06e6rzy4edfz5aqya73904jq3l

Current NFT ID #510139 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
510139
Accession (UniProt):
B3Q9J8
Name::
Putative hydro-lyase Rpal_1947
Experimental Method:
Predicted structure
Sequence source:
Rhodopseudomonas palustris (strain TIE-1)

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 B3Q9J8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3Q9J8|Y1947_RHOPT Putative hydro-lyase Rpal_1947 OS=Rhodopseudomonas palustris (strain TIE-1) OX=395960 GN=Rpal_1947 PE=3 SV=1 MTVFAAEQQFHDAERPLPSHQARLACRAGLAETTAGVAPGFVQGNLAILPEKYAAAFHRFCQLNPKPCPIVGMSDVGNPMIPSLGIDLDIRTDLPRYRVWRDGELVEEPTDIVAHWRDDLVAFVIGCSFSFEEALLADDIPIRHIEEKVRVPMYRTNIPCEPAGPFSGPMVVSMRPLKPKDAIRAIQVTSRFPSVHGAPVHIGLPQSIGIADIAKPDYGDPVPIGPDELPVFWACGVTPQAVIAAAKVPFAITHAPGLMLVTDLKNKHLAVL