Q65PL0 AF NFT

Serine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidnb7uww3l6jsw7je7bpl6ovnsluvtnuo453ocqvktpiwlyr2erda/metadata.json
IPFS of structure file: 
bafybeigoydbto4a7snb7roajwheb6cyubbateh3mqjl5qwcbkxwn4mcvwm/AF-Q65PL0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #453289 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
453289
Accession (UniProt):
Q65PL0
Name::
Serine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65PL0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65PL0|SYS_BACLD Serine--tRNA ligase OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=serS PE=3 SV=1 MLDVKLLRANFEEIKQKLAHRGEDLSDFDQFEELDTKRRELIVKVEELKGKRNEVSQQVAALKREKKDADHLIKEMREVGEDIKKLDEELRTVESSLDKIMLSIPNIPHESVPVGETEDDNVEVRKWGELPEFSFEPKPHWDIADQLDILDFERAGKVTGSRFVFYKGLGARLERALYNFMLDLHVDEYGYTEVIPPYMVNRASMTGTGQLPKFEEDAFKIREEDYFLIPTAEVPITNLHRDEILSADELPINYAAFSACFRSEAGSAGRDTRGLIRQHQFNKVELVKFVKPEDSYEELEKLTNQAEKVLQLLELPYRVMSMCTGDLGFTAAKKYDIEVWIPSQNTYREISSCSNFEAFQARRANIRFRREAKGKPEHVHTLNGSGLAVGRTVAALLENYQQEDGSVIIPKALRPYMGNRDVIQP