Q72GF9 Proline--tRNA ligase MolNFT, Molecular NFT on GenesisL1

Proline--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiac5fkwerljb7dg2qw5xej2kxlxntbkcorxpkr7d7xbvomqqzytpu/metadata.json

IPFS of structure file:

bafybeihdb7yqrxczcncnny22yali5swt72vkqorzucnjbrs5ga6cugfll4/AF-Q72GF9-F1-model_v2.pdb

First NFT owner address (eip-55):

0xc0F878C3f3E2a1874e2A6daC80d429e553DdB0D5

First NFT owner address (bech32):

genesis1cru83slnu2scwn32dkkgp4pfu4famvx4x7nssv

Current NFT ID #452208 owner (web3):

0x53A7bCF84acf35C0e1efDd6666269e7073C62f0b

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
452208
Accession (UniProt):
Q72GF9
Name::
Proline--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Thermus thermophilus (strain ATCC BAA-163 / DSM 7039 / HB27)

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 Q72GF9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q72GF9|SYP_THET2 Proline--tRNA ligase OS=Thermus thermophilus (strain ATCC BAA-163 / DSM 7039 / HB27) OX=262724 GN=proS PE=3 SV=1 MAKEKGLTPQSQDFSEWYLEVIQKAELADYGPVRGTIVVRPYGYAIWENIQQVLDRMFKETGHQNAYFPLFIPMSFLRKEAEHVEGFSPELAVVTHAGGEELEEPLAVRPTSETVIGYMWSKWIRSWRDLPQLLNQWGNVVRWEMRTRPFLRTSEFLWQEGHTAHATREEAEEEVRRMLSIYARLAREYAAIPVIEGLKTEKEKFAGAVYTTTIEALMKDGKALQAGTSHYLGENFARAFDIKFQDRDLQVKYVHTTSWGLSWRFIGAIIMTHGDDRGLVLPPRLAPIQVVIVPIYKDESRERVLEAAQGLRQALQAKGLRVHLDDRDQHTPGYKFHEWELKGVPFRVELGPKDLEQGQAVLASRLGGKETLPLAALPEALPGKLVAFHEELYRRALAFREAHTRKVDTYEAFKEAVQEGFALAFHCGDKACERLIQEETTATTRCVPFEAEPEEGFCVRCGRPSAYGKRVVFAKAY

Q72GF9 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q72GF9 research and analysis (ICN3D with VR)

FASTA sequences

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