Q9M1P7 AF NFT

Probable boron transporter 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeich5whnzrtbi6myqdhi665uzdspj2uwp5jv6e5iagndnqkbrxwofq/metadata.json
IPFS of structure file: 
bafybeiawi6fnsfxpu3rmh5xsk5d6obeztjpdss4czej4hrlnlsdobzpeye/AF-Q9M1P7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa73BAb1DabE4333A884D03393eAa10c3B4215494
First NFT owner address (bech32): 
genesis15ua6k8dtusen4zzdqvuna2sscw6zz4y5hahjw0
Current NFT ID #45546 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
45546
Accession (UniProt):
Q9M1P7
Name::
Probable boron transporter 2
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 Q9M1P7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9M1P7|BOR2_ARATH Probable boron transporter 2 OS=Arabidopsis thaliana OX=3702 GN=BOR2 PE=2 SV=1 MEETFVPFEGIKNDLKGRLMCYKQDWTGGIKAGFRILAPTTYIFFASAIPVISFGEQLERSTDGVLTAVQTLASTAICGIIHSIIGGQPLLILGVAEPTVIMYTFMFNFAKGRPELGRNLFLAWSGWVCVWTSLILFVLAICGACSFINRFTRVAGELFGLLIAMLFMQQAIKGLVDEFRAPAREDLKLVEFLPSWRFANGMFALVLSFGLLITALRSRKARSWRYGTGWLRSLVADYGVPLMVLVWTGVSYIPTGDVPKGIPRRLFSPNPWSPGAYENWTVVKEMLQVPIVYIIGAFIPATMIAVLYYFDHSVASQLAQQKEFNLRKPSSYHYDLLLLGFLTLMCGLLGIPPSNGVIPQSPMHTKSLATLKYQLLRNRLVATARKSIKQNASLGQLYGNMQDVYNQMQTPLVYQQPQGLKELRESTIQATTFTGNLDAPVDETLFDIEKEIDDLLPIEVKEQRVSNLLQAVMVGGCVAAMPLLKMIPTSVLWGYFAFMAIESLPGNQFWERILLLFTAPSRRFKVLEDNHATFVETVPFKTIAMFTIFQTTYLLTCFGLTWIPIAGVMFPLLIMFLIPVRQYILPRFFKSAHLQDLDAAEYEEAPALPFHLAVPEAEMGSTASYPCDSEILDEFITRSRGEFRHTCSPKVTSSTSTPVYNRNLSQVFSPRVIDLRGEMSPRLSGKGQNSPKPSPLNPSSSSK