Q47SC6 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibmlvyqqldo4d32r5cwglsgp7cac7q244oc7gwawgsubreohyg7va/metadata.json
IPFS of structure file: 
bafybeicvbvkczh5t67ri4win4uqjwggu37cha3ygyufzgajitsnpwgwkhq/AF-Q47SC6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA458d67e82B7FfA0Ce634c4b82799b47bE04B1a0
First NFT owner address (bech32): 
genesis153vdvl5zkll6pnnrf39cy7vmg7lqfvdqezsqwv
Current NFT ID #102922 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102922
Accession (UniProt):
Q47SC6
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
THERMOBIFIDA FUSCA (STRAIN YX)

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 Q47SC6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q47SC6|DNLJ_THEFY DNA ligase OS=Thermobifida fusca (strain YX) OX=269800 GN=ligA PE=3 SV=1 MRNHGPGSERKDACVSAPDPTFSDDVPADVRERHARLSQDLDDYSYRYYLGSPIISDAEYDQLMAELRDLEAQYPSLVTPDSPTQKVGAPISNEFAPVEHLERMQSLDNAFSDAQLEAWAHRVSAEVPVDAFLCELKIDGLAVALVYEKGRLVRAATRGDGRIGEDITLNIRTIDTVPLRLDESRYPAPELLEVRGEVFLPVKAFEQLNSRLADEGKPPFANPRNAAAGSLRQKDPRVTASRPLSMLVHGIGAHRGVTITHQSQSYELLAAWGLPVSDRIRVVSTLDEVREYIAYYAEHRHDPEYEIDGVVVKVDDVSLQRRLGSTSRAPRWAIAYKYPPEEVTTKLLDIKTSVGRTGRVTPYAVLEPVKVAGSEVEFATLHNAQEVARKGVLIGDTVVVRKAGDIIPEVVGPVVEKRTGTERPFVMPTECPECGSPLGQQKEGDVDLRCPNTRYCKGQLRERLAFIAGRKALDIEALGYVAATALTQPLEPAEPPLRDEGDLFSLTVEQLLPIRTLVLDPDTAEPKIDPKTGKPKVVSFFANQKGEPKKIVEKLFQQLEEAKKRPLWRVLVALSIRHVGPRAAEDLARHFRSLDAIAQASEEELEAVEGIGPTIARSIVDWFSVDWHREIVEKWRAAGVRMEEEGADDGPRLLDGITTVITGTLEKYSRDGAKEAVQKLGGRVTGSVSRKTDFVVVGANPGSKYDKAVKLGVPILDEAGFEVLLTQGPEAARAARLSEDESVLS