B1XLV0 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigqjtpc63renfrjmiwseen62gvnbj6enm2dwn7oc665gkc4k4bydq/metadata.json
IPFS of structure file: 
bafybeigtph3wzyao2xhkbf3ch5ojiqtjf5amz2y7vluqr47ajqxmvtmwfm/AF-B1XLV0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xea9f5858064346e9f9d471d9b68B63FAeCE0379C
First NFT owner address (bech32): 
genesis1a204skqxgdrwn7w5w8vmdzmrltkwqduuttcmx0
Current NFT ID #102911 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
102911
Accession (UniProt):
B1XLV0
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
Synechococcus sp. (strain ATCC 27264 / PCC 7002 / PR-6)

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 B1XLV0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1XLV0|DNLJ_SYNP2 DNA ligase OS=Synechococcus sp. (strain ATCC 27264 / PCC 7002 / PR-6) OX=32049 GN=ligA PE=3 SV=1 MSDAPPTRLAQLRSQLQKAAYAYYVLDAPFMEDAVYDQLYRELVALETAHPQLITPDSPTQRIGDQPATQFTSVKHNIPLYSLENAFDFGELTQWEQRWQRALAGEIPSDSGYVCELKIDGSAIALTYENGILVRGATRGDGVTGEEITQNLRTIRTIPLRLNLDNPPPLVEVRGEAFLPLETFEKINQEREKAGENLFANPRNAAAGTLRQLDSRIVAARKLDFFAYTLHLPESHNSPQLNSQWEALEFLKKMGFRVNPNRELCPNLTAVKNYFEKWDEGRKKLPYLTDGVVVKLNDFSLQAELGFTQKFPRWAIALKYAAEEAPTTVKDIIVNVGRTGAVTPMAVMEPVQLAGTTVQRATLHNEDRIKELDLRIGDTVVIRKAGEIIPEVLRVLVDLRPEATIPYEFPSHCPECNSALVRPPGEAVARCVNSSCPAILRGSLVHWAGRDALDIQGLGEKNVILLIEHGLVQSIADIYDLTSEQLQSLPRMGQKSAANLIQAIAHSKNQDYARVLYGLGIRFVGKVNAEILAQNFPTLEQLQKASFAQLQGVYGIGEEIAQSVVDWFRVDANQQLIEKLQQAGLTFAQTQTAQTQTAQTQANHQISGKTFVITGTLPTLKRTEAAEKIKAAGGKVTSSVSKNTDYLVAGDNAGSKLDKARQLGIQELNENQLLELLV