Q5FLL4 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibdxitsypy22onyqwk57u7hiayy63r3ihaek6wgnm3mygmxb7ovb4/metadata.json
IPFS of structure file: 
bafybeibzt7wicb2mm27lrxxejfaqtmulf3x3hil6oslbkadrg5gz4fwzzi/AF-Q5FLL4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa8bD5d18cBADFBd11Fe7F9BE574D17B121D38734
First NFT owner address (bech32): 
genesis14z746xxt4haaz8l8lxl9wnghkysa8pe50k4ezl
Current NFT ID #102557 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
102557
Accession (UniProt):
Q5FLL4
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
LACTOBACILLUS ACIDOPHILUS (STRAIN ATCC 700396 / NCK56 / N2 / NCFM)

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 Q5FLL4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5FLL4|DNLJ_LACAC DNA ligase OS=Lactobacillus acidophilus (strain ATCC 700396 / NCK56 / N2 / NCFM) OX=272621 GN=ligA PE=3 SV=1 MADITLDEAKKEASLLRNQLDKWADAYYSKDAPEVEDNVYDQKYSRLLELEKQFPEIVTPDSITQRVGGEIDSDFTKVEHAIPMLSMGDVFSKDELKDFDQRMQKLVGHPVEYNVELKIDGLSLSLEYENGKLMRASTRGNGYVGEDVTANARYIADIPQTLPEPLTIEVRGECYMGKEAFAKLNEERENEGLSVFANPRNAAAGSLRQLDPKVTKKRQLSTFIYTWVNPPEDITSQHEAIKRMQELGFHTNETGQKLASLEEIFAFIDEYTARRDSLAYGIDGIVLKIDDLNIERSLGNTVKVPRWEIAYKFPPEEQETIVRDIVWTVGRTGVVTPTAVMDPVQLAGTTVARASLHNPDYLNEKDVRLGDTVKLHKAGDIIPEISEVVLSKRPVDSVPYVIPENCPSCGHKLVHLQDEVALRCINPSCPAQVEEGITHFASRPAMNIAGLGPKIVKQLIANDLVHNVADLYHLSAEDLAQLDHFKEKSINNLLTAIDNSKKNSVELLITGLGIDHVGAKAARLIAQKFKNLAKIMSLGVQDLASIDTIGMTIAESMTTYFAQPEAQEMIADLEKSGLNMEYLGEDEPEDIPDNPFKDKTVVLTGKLEHYTRSEFTKRLQALGAKVTGSVSKKTNYVIYGQDAGSKYNKAEQLGIPLLTEEEAIAQIK