A4IWW8 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidd7rzupcfc4ihfy6dlw6yuzscvl26wdda5nzga7svssml36owp7e/metadata.json
IPFS of structure file: 
bafybeifhcgut36jlsamffuppjk4zs3v7z6fav3abvgdrx2kc4twcliabl4/AF-A4IWW8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEfeF22Cb92c4cdFf0004010904498915700e52C5
First NFT owner address (bech32): 
genesis1alhj9jujcnxl7qqyqyysgjvfz4cqu5k94x0dxe
Current NFT ID #102503 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102503
Accession (UniProt):
A4IWW8
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
Francisella tularensis subsp. tularensis (strain WY96-3418)

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 A4IWW8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4IWW8|DNLJ_FRATW DNA ligase OS=Francisella tularensis subsp. tularensis (strain WY96-3418) OX=418136 GN=ligA PE=3 SV=1 MTPNEFFSIKYHILAKAELKAYIDKLADYLSQQSYLYHTLDKPIISDSDYDKLFRLLQDLVNDNPQFKPINSVLDRVGGEVLAGFETIKHKKKMTSLANVFSLEELRDFYDKIEYDIELECEPKMDGLAISIFYKNGKFDYAVTRGDGIQGEKVSENVKTIRNVPLKLNTSNPPEELEVRGEIILDKQSFLSLNEYMQTHENKTFANPRNAAAGSIRMLDSKVVAKRPLKLYSYGIGYFSKDFVYPETQFELMQLLQSFGFTISDNMFLAKNFSEVEEYHHKMSHQRADLAYDIDGLVFKVNNIKLQDTIGYTARGPKWAIAYKFPAEEVESEVLNVEFQVGRTGAITPVARLKPVAVGGVIVSNATLHNINEIKRKDIRVGDRVIVRRAGDVIPEVVKSLPQYRKSDAQMVEMPTNCPVCDSKIENVNDQAIYRCTGGWHCQAQTTERLKHFVSRKAMDIDKLGAKLIEQLVAANLIKYPADIYKLNFEQLTGLERMAAKSSQNVLDSITKSKEPSLARFIFAIGIKDIGEVSSDALANHFGSLESFRDAKFEELIEINDIGEIMANNIVSFWHDSLNIKIVEEFLAIGIKIQNPVKVEHAYNESFTGKTVVITGSFENYGRTELTQLLKSIGAKVTSSVSKKTDMVICGDNAGSKLTKAQELGVEVILEDNLKDLL