P15395 AF NFT

Anthranilate synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidoacndh3m3fdbpv4y26qbvrivxmjxpvogxkz7oobu25pvlcn2gse/metadata.json
IPFS of structure file: 
bafybeic4wcw7poy266ikycsedq2yaemy7qfevzm7ypjl7ysgjegkdneymi/AF-P15395-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf81d28bD872368aF456B77A1daFfa99d2d49F26C
First NFT owner address (bech32): 
genesis1lqwj30v8yd5273ttw7sa4lafn5k5nunvwel9c0
Current NFT ID #477766 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
477766
Accession (UniProt):
P15395
Name::
Anthranilate synthase
Experimental Method:
Predicted structure
Sequence source:
RHIZOBIUM MELILOTI (STRAIN 1021)

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 P15395 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P15395|TRPE_RHIME Anthranilate synthase OS=Rhizobium meliloti (strain 1021) OX=266834 GN=trpE(G) PE=4 SV=1 MAAVILEDGAESYTTKGGIVVTRRRREASYSDAIAGYVDRLDERRGAVFSSNYEYPGRYTRWDTAVVDPPLAISSFGRSLWIEAYNERGEVLLALIAEDLKSVADITLGSLAARRLDLTINEPDRVFTEEERSKMPTVFTVLRAVTNLFHSEEDSNLGLYGAFGYDLAFQFDAIELKLSRPDDQRDMVLFLPDEILVVDHYAAKAWIDRYDFARENLSTEGKAADIAPEPFRSVDSIPPHGDHRPGEYAELVVKAKESFRRGDLFEVVPGQKFYERCESRPSEISNRLKAINPSPYSFFINLGNQEYLVGASPEMFVRVSGRRIETCPISGTIKRGDDPIADSEQILKLLNSKKDESELTMCSDVDRNDKSRVCVPGSVKVIGRRQIEMYSRLIHTVDHIEGRLRDDMDAFDGFLSHAWAVTVTGAPKLWAMRFIESHEKSPRAWYGGAIGMVGFNGDMNTGLTLRTIRIKDGIAEVRAGATLLYDSNPEEEEAETELKASAMIAAIRDAKSANSAKSARDVAAVGAGVSILLVDHEDSFVHTLANYFRQTGASVTTVRTPVAEEIFDRVKPDLVVLSPGPGTPKDFDCKATIKKARARDLPIFGVCLGLQALAEAYGGDLRQLAIPMHGKPSRIRVLEPGIVFSGLGKEVTVGRYHSIFADPSNLPREFVITAESEDGTIMGIEHSKEPVAAVQFHPESIMTLGGDAGMRMIENVVAHLAKRAKTKAA