F4JTN2 AF NFT

Protein LAZ1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih2hezodj2atyj7sar3vw4apef7igg6demuec2schdvwtq2ubfrcy/metadata.json
IPFS of structure file: 
bafybeihcf2zjwn6k7yhl4twgnidyepekzgvl6khfcf6wm35n5ppfppf4hm/AF-F4JTN2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcF79EabFD85CBBEc9F4c34c0156e5B2407B7C5fd
First NFT owner address (bech32): 
genesis1eau7407ctja7e86vxnqp2mjmysrm030ahrvzxr
Current NFT ID #207784 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
207784
Accession (UniProt):
F4JTN2
Name::
Protein LAZ1
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 F4JTN2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|F4JTN2|LAZ1_ARATH Protein LAZ1 OS=Arabidopsis thaliana OX=3702 GN=LAZ1 PE=1 SV=1 MDILKSYHLLAAAYSAPAWASFMAGAFLVLTLSLSLFLVFDHLSTYKNPEEQKFLIGVILMVPCYSIESFASLVKPSISVDCGILRDCYESFAMYCFGRYLVACIGGEERTIEFMERQGRKSFKTPLLDHKDEKGIIKHPFPMNLFLKPWRLSPWFYQVVKFGIVQYMIIKSLTALTALILEAFGVYCEGEFKWGCGYPYLAVVLNFSQSWALYCLVQFYGATKDELAHIQPLAKFLTFKSIVFLTWWQGVAIALLSSLGLFKSSIAQSLQLKTSVQDFIICIEMGIASVVHLYVFPAKPYGLMGDRFTGSVSVLGDYASVDCPIDPDEIRDSERPTKVRLPHPDVDIRSGMTIKESMRDVFVGGGEYIVKDVRFTVTQAVEPMEKSITKFNEKLHKISQNIKKHDKEKRRVKDDSCMSSSPSRRVIRGIDDPLLNGSFSDSGVTRTKKHRRKSGYTSAESGGESSSDQAYGGFEVRGRRWITKD