Q9W1H4 AF NFT

DNA ligase 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibawitbmggaocff5oakanruzblfmohaqolpv4qdkonbpqwn7tgbmu/metadata.json
IPFS of structure file: 
bafybeibq3qarsgqj5gyyym5qnglf65ra7o72gjs65yx2spadfpudt4dipy/AF-Q9W1H4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x16e07C76957A2F24F14ACC5393e231dF9b8720B9
First NFT owner address (bech32): 
genesis1zms8ca540ghjfu22e3fe8c33m7dcwg9enhce7k
Current NFT ID #102036 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102036
Accession (UniProt):
Q9W1H4
Name::
DNA ligase 1
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9W1H4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9W1H4|DNLI1_DROME DNA ligase 1 OS=Drosophila melanogaster OX=7227 GN=DNAlig1 PE=1 SV=2 MQKSITSFFKKKSDATDSPSPPKKVPKIDAKTELPDEPHIKSESASPETKPKVEPMSVDSEEKTSPVKNVKKEPKEVDDKTTDKKVTTIGLNSTAATKEDVENYDPSADSYHPLKNAYWKDKKVTPYLALARTFQVIEETKGRLKMIDTLSNFFCSVMLVSPEDLVPSVYLSINQLAPAYEGLELGVAETTLMKAICKATGRNLAHIKSQTQLTGDLGIVAEQSRVSQRMMFQPAPLNVRDVFRKLREIAKLSGQSKMDLVYNMFVACRSSEARFFIRSLIGKLRIGIAEQSLLTALAIGLVKKNHIDDCKASKVPDVYKDEIVDTTLLLKTAYCQCPNYDIIIPAILKYDIKELQERCPMHPGMPLRPMLAQPTKGVHEVFERFGGMQITCEWKYDGERAQIHRNEKGEISIFSRNSENNTAKYPDLIARSTALLKGDVKSYIIDSEIVAWDVERKQILPFQVLSTRKRKNVDIEEIKVQVCVYIFDLLYINGTALVTKNLSERRKLLLEHFQEVEGEWKFATALDTNDIDEVQQFLEESIKGNCEGLMVKTLDEEATYEIAKRSRNWLKLKKDYLSNVGDSLDLVVIGGYKGKGRRTGTYGGFLLACYDTENEEYQSICKIGTGFTDEDLQTHSEFLGKHVTSAAKSYYRYDPSLEPDHWFEPVQVWEVKCADLSLSPIHRAAIGIVDGERGISLRFPRFIRIRDDKNSENATDANQVAHMYQSQDQVKNNQKSSTQMEMEDEFY