Q8PCS4 AF NFT

Proline--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiawigatmjqeoz4x2kh5avjdq5fmcocy6gtxj3f2wdw3vt7r7i7rkm/metadata.json
IPFS of structure file: 
bafybeid3vg5sb5cqcygreqzbxphxtsq2ulhiet7bugvgo4xtbaguicoa2e/AF-Q8PCS4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #452247 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
452247
Accession (UniProt):
Q8PCS4
Name::
Proline--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
XANTHOMONAS CAMPESTRIS PV. CAMPESTRIS (STRAIN ATCC 33913 / DSM 3586 / NCPPB 528 / LMG 568 / P 25)

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 Q8PCS4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8PCS4|SYP_XANCP Proline--tRNA ligase OS=Xanthomonas campestris pv. campestris (strain ATCC 33913 / DSM 3586 / NCPPB 528 / LMG 568 / P 25) OX=190485 GN=proS PE=3 SV=1 MRLSQFHLHTTKETPADAELVSHRLMLRAGMIRKLASGLYTWSPLGLRVLRKVEAIVREEMNRAGAVEVLFPTIQPRELWDATGRWEKFGGQLLKIKDRKEQEFCYTPTAEEAAAEFARQEINSYKQLPLNFYQIQTKFRDEIRPRFGVMRAREFLMKDAYSFHLTDADMAREYDNMRAAYIRIFTRLGLEFRAVQADSGAIGGDASQEFHVIAESGEDSLAFSTGSDYAANVETASAALPAPRPAAGETLQRVDTPTQKTCEDVAQLLGLPLQRTVKSIAVMTTAGFVLVLVRGDHAVNELKLAKVAGMADYRLANESEIRQHLGSEPGFLGPVQPAQPIRIIADRDVAAMADFVVGANAVGVHLTGVNWGRDLPEPETVADVRNVVDGDRASDGGELRLTRGIEVGHVFQLGSKYAEALQATVLDENGKAAVMKMGCYGIGISRIVAAAIEQNHDDAGIVWPAPMAPWKVVVCVINPKQDAQVAAAAGDLLEELIAAGIDAALDDRGLRPGAMFADMELLGVPHRVVVSERGLAAGTFEYRARTAESAENLDKAGLFSRLGN