Q4FUW9 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic7j7k433ac5fyex3galh3sm6l7cmtezaejglm4rv7bthfw5ajr2i/metadata.json
IPFS of structure file: 
bafybeigss33btajdkamzbdtansmtuqj3wvyl2sxjgrwsmq6u2jemnwkix4/AF-Q4FUW9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA66e7d307CBeA9eAfeb912B98b4fD612B7766919
First NFT owner address (bech32): 
genesis15eh86vruh6574l4ez2uckn7kz2mhv6gess6ph7
Current NFT ID #102738 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102738
Accession (UniProt):
Q4FUW9
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
Psychrobacter arcticus (strain DSM 17307 / VKM B-2377 / 273-4)

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 Q4FUW9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4FUW9|DNLJ_PSYA2 DNA ligase OS=Psychrobacter arcticus (strain DSM 17307 / VKM B-2377 / 273-4) OX=259536 GN=ligA PE=3 SV=1 MTDAISPLTSKDIDTAKPITNDDAIVTQMRTFIDTLKQHNYAYYVLDNPILEDSEYDQLRRSLLELEEEYPDLVQPDSPINQVGDMPLPAFTQVTHDIPMLSLGNVFEYNDLRDFMRRVNDRLSVAQQSPEYEMELKLDGLAVSLKYVHGKFTQAVTRGDGQTGEDITQNAKTIRNMPLWLADAADIELLEVRGEVLMPKAGFERLNRLAAEKEEKTFANPRNAAAGSLRQLDPSVAASRPLAFYAYSVNQGLLDTIDTQSAALAWIKDIGFSVSAVEVVSNPREAQTYYESIIATRADLPFEIDGMVIKVNSLALQQQLGFLSREPRWATAYKFPAETVMTRLHAIDWQVGRTGQITPVGKLEPVKVGGVTVSNVTLHNFGEIQRLDVRAGDMVSVHRAGDVIPKVTRVWHEQRPENSEPVQLPSTCPVCDSPVVLPKDEALARCTGGLFCPAQQQEALIHFVSRRAMDIDGLGASWLISFFEHGLVKTVADIYQLHNHQEELVTLEKLGEKSVQNIISAIEASKHTTLSRFIYALGIRGVGETTAQNLAQQFGDLDALMSASIEKLLLTPDVGAITAELAYKFFRAPHNIEVITALREAGVHWDKVEQVVSEGLPLDGQTWVITGALDSMARDEAKAKLQALGAKVSGSISAKTTALLAGDKAGSKMAKAEKLGVKVVGEEEFLALVGE