Q9M1A7 AF NFT

Jacalin-related lectin 38

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigwchthdfnhcregbdjt543hhgiqa6vv4tjzzhimez7nwhn6sgrzze/metadata.json
IPFS of structure file: 
bafybeiaws4amcy65hfw2kut4ply7rzvylizganfujeik4cq2vn4ysmgfte/AF-Q9M1A7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x51854365c26712e025414B337aDf0f8c25Bc18a0
First NFT owner address (bech32): 
genesis12xz5xewzvufwqf2pfveh4hc03sjmcx9q0zu5vw
Current NFT ID #127404 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
127404
Accession (UniProt):
Q9M1A7
Name::
Jacalin-related lectin 38
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 Q9M1A7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9M1A7|FBK75_ARATH Jacalin-related lectin 38 OS=Arabidopsis thaliana OX=3702 GN=JAL38 PE=2 SV=1 MMQPDHDLPYDLEGEILSHLPIQILARFRCVCKRWNTLFKERRFFNSDLGLARPQFILLAESKICSVDVNLDGPSIEVHNLPSDIPGYKLYMPMHVEYCDGLFLYATCYGIGICNPWLRQIRWFKSSYEGYDFSGMGYDNSRQDKHYKILGSYCTNTTMNASVTELGSDAWKSYEFAFHSWNLSMSPYSVSLNGNLYWVAYNHESRDYFIQSFDFSTVSFKHYCILPTKNGHRQCDGRSLAIFREDRFSFLEQEIYNTRNIEIWVTKETIKNGDGEAVEWVNLMSVLVPEWSSLSVNYYPPSYFVDEDKVGLTLVICCYNKEGKAYIYIAKGDKFHEIEIKDLVEYNPRHRTYFPNLIQVPTFTMSGRSITQHQVESRFAPLRGIQVSVGVGGDEWDDGFFDNVKEIIIHTNSLGIIFVKFYYRNGNVRVAGAAHGDSTETRGLMVPDDDYIEAVQGTYTESHITSMAFRLHKGNRSLRFGFFEGMSFVLGGARGSKIIGFYGRSSDLYLTAFGVHFSPLP