A7PZL3 Probable polygalacturonase MolNFT, Molecular NFT on GenesisL1

Probable polygalacturonase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidwrn2omagyqudoi6sepcwysnzynrish7i64n7kbcdjsm7kxozq2y/metadata.json

IPFS of structure file:

bafybeigs4kaqwiecaemb3vstjbcy27pxcw6chc3iz55g4l7xmvk4cg6h2a/AF-A7PZL3-F1-model_v2.pdb

First NFT owner address (eip-55):

0x6DAA77C4263E74E745cA9c4D8E291e57e8991Cf5

First NFT owner address (bech32):

genesis1dk4803px8e6ww3w2n3xcu2g72l5fj884walv9j

Current NFT ID #297070 owner (web3):

0xa629093B0be4f69cdF30F18a14844a0734BA9D93

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297070
Accession (UniProt):
A7PZL3
Name::
Probable polygalacturonase
Experimental Method:
Predicted structure
Sequence source:
VITIS VINIFERA

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 A7PZL3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7PZL3|PGLR_VITVI Probable polygalacturonase OS=Vitis vinifera OX=29760 GN=GSVIVT00026920001 PE=1 SV=1 MVETHKKKIANLTQPIVSFYCFQVVSVLVAVVLLLSVSRGECRKGRILEALEYSAISCRAHSASLVDFGGVGDGQTLNTKAFQDAVSELSKYGSEGGAQLYVPAGKWLTGSFSLTSHFTLFLHRDAVLLASQDISQWPVIKPLPSYGRGRDAAAGRYTSLIFGTNLTDVIITGDNGTIDGQGGLWWQRFHGGKLKYTRPYLIELMYSADIQISNLTLLNSPSWNVHPVYSRNILIQGITILAPVRSPNTDGINPDSCTNTRIEDCYIVSGDDCVAVKSGWDEYGIAYGMPTKQLVIRRLTCISPYSAVIALGSEMSGGIQDVRAEDIVAINSESGIRIKTGIGRGGYVKDIYVRGMTMKTMKWAFWMTGNYGSHADNHYDPKAFPVIQGINYRDMVAENVSMAARLEGIPSDPFTGICISNVTIHLAAKAKKVPWTCTDVEGISSGVTPTPCSTLPDQGPEKTSLCNFPAESLPIDTVELQKCSYGINYYP

A7PZL3 AF NFT

MOLNFT AF v1

NFT data

MOLNFT A7PZL3 research and analysis (ICN3D with VR)

FASTA sequences

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