B4E5W6 AF NFT

Proline--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihcsxqdvd5kjpryaxrjio4trvqihexasuyi5l6otzupdkej4tjss4/metadata.json
IPFS of structure file: 
bafybeie3eq4taok35xpuqlleb2kzfwl5emo3eyrlpqqdnc2jfv57ud7eg4/AF-B4E5W6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0Bd770503E1bC139C5289bf2beF9d371036A5123
First NFT owner address (bech32): 
genesis1p0thq5p7r0qnn3fgn0eta7wnwypk55frxuwhsk
Current NFT ID #451581 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
451581
Accession (UniProt):
B4E5W6
Name::
Proline--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA CENOCEPACIA (STRAIN ATCC BAA-245 / DSM 16553 / LMG 16656 / NCTC 13227 / J2315 / CF5610)

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 B4E5W6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4E5W6|SYP_BURCJ Proline--tRNA ligase OS=Burkholderia cenocepacia (strain ATCC BAA-245 / DSM 16553 / LMG 16656 / NCTC 13227 / J2315 / CF5610) OX=216591 GN=proS PE=3 SV=1 MKASRFFIGTLKEAPADAEIVSHKLMVRAGMIRRVAGGIYNYLPVGLRSIRKVEAIVREEMNRAGAIELLMPAVQPAELWQESGRWEQYGPELLRFKDRKDNDFVIGPTHEEVVTDIARNQIKSYRQMPVNFYQIQTKFRDEIRPRFGVMRGREFIMKDAYSFDKDAAGLNESYRKMYDAYVRIFSRLGLEFRAVAADSGSIGGNFSHEFHVIADTGEDAIAYCPTSEFAANVEAAEALPLIAERAAPAEAMEKVATPGKAKCEAVAELLSIPLERTIKSIVLATDNEGAEPTIWLVMLRGDHDLNEIKVSKLPGLKNHRFATEQEIVEWFGTPPGYLGPVGTKKPVKVIADRTVANMSDFVVGANEVDYHIAGVNWGRDLPEPDVADVRNVKKGDPSPDGKGVIDICRGIEVGHVFQLGTKYSEAMGATFLDESGKPQPMLMGCYGVGITRILGAAIEQNFDDRGIIWPESIAPFEVVLCPMGYDRSDLVRETADKLYAELVAAGIDVILDDRGERPGVMFADWELIGVPHRLVIGERGLKEGKIEYQGRRDAEATLLPADTAAATVAEKIRAALAH