Q88QS0 AF NFT

Esterase EstP

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidqzg234rqfbztxqbrybrlkct75f6hq5n6bxv4qgnhlb33he3kklm/metadata.json
IPFS of structure file: 
bafybeifnvohv4p6deudsaq26owuvqwwihr2ccbaaa7e2x2kbqzf7heeupi/AF-Q88QS0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb1D0f67d3BC2C805BBB719Afc6DA02f0d03Dea70
First NFT owner address (bech32): 
genesis1k8g0vlfmctyqtwahrxhudksz7rgrm6ns354jux
Current NFT ID #120827 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
120827
Accession (UniProt):
Q88QS0
Name::
Esterase EstP
Experimental Method:
Predicted structure
Sequence source:
Pseudomonas putida (strain ATCC 47054 / DSM 6125 / CFBP 8728 / NCIMB 11950 / KT2440)

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 Q88QS0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q88QS0|ESTP_PSEPK Esterase EstP OS=Pseudomonas putida (strain ATCC 47054 / DSM 6125 / CFBP 8728 / NCIMB 11950 / KT2440) OX=160488 GN=estP PE=1 SV=1 MRKAPLLRFTLASLALACSQALAGPSPYSTLIVFGDSLADAGQFPDLVGGTPGARFTNRDADGNFAPVSPMILGGRLGVAPGDLNPSTSVGIQPDGNNWAVGGYTTQQILDSITTTSETVIPPGNPNAGLVLRERPGYLANGLRADPNALYYLTGGGNDFLQGLVNSPADAVAAGARLAASAQALQQGGARYIMVWLLPDLGQTPNFSGTPQQNPLSLLSAAFNQSLISQLGQIDAQIIPLNIPLLLSEALASPSQFGLASDQNLVGTCYSGDSCVENPVYGINGTTPDPTKLLFNDSVHPTIAGQQLIADYAYSILAAPWELTLLPEMAHASLRAHQDELRNQWQTPWQAVGQWQAFVASGAQDLDFDGQHSAASGDGRGYNLTVGGSYRLNDAWRLGLAGGANRQKLEAGEQDSDYKLNSYMASAFAQYRQDRWWADAALTAGHLDYSDLKRTFALGVNDRSEKGDTDGEAWAMSGRLGYNLAADTSNWQLAPFISADYARVKVDGYDEKSGRSTALGFDDQERTSRRLGVGLLGSVQVLPSTRLFAEVAQEHEFEDDEQDVTMHLTSLPANDFTLTGYTPHSDLTRASLGVSHELVAGVHLRGNYNWRKSDELTQQGISVGVSVDF