A0QLG2 Glutamate-1-semialdehyde 2,1-aminomutase MolNFT, Molecular NFT on GenesisL1

Glutamate-1-semialdehyde 2,1-aminomutase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiehljbefcgkt7n72pgmn7n624ifcloz46mrd3ydtr4nz4aosqtkza/metadata.json

IPFS of structure file:

bafybeiahw65k2ttt2rqtufjsahqf7yflogbffamjkbgem4r3uceyfz7hw4/AF-A0QLG2-F1-model_v2.pdb

First NFT owner address (eip-55):

0xaB909Dde3eA43E287fe0Af1fFb1bf6EAc77a9Ed9

First NFT owner address (bech32):

genesis14wgfmh375slzsllq4u0lkxlkatrh48ke08ga2f

Current NFT ID #159687 owner (web3):

0x7717d08b9C504f06fF65Dac452b367e0cB98842b

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
159687
Accession (UniProt):
A0QLG2
Name::
Glutamate-1-semialdehyde 2,1-aminomutase
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM AVIUM (STRAIN 104)

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 A0QLG2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0QLG2|GSA_MYCA1 Glutamate-1-semialdehyde 2,1-aminomutase OS=Mycobacterium avium (strain 104) OX=243243 GN=hemL PE=3 SV=1 MGSSDQATAHARAQAASARLFDDACAVIPGGVNSPVRAFTAVGGTPPFITAARGCRLTDADGNHYVDLVCSWGPMILGHAHPAVVEAVAKAAASGLSFGAPTPAESELAAEMIARVAPVERIRLVNSGTEATMSAVRLARGFTGRAKIVKFSGCYHGHVDALLADAGSGVATLGLPSSPGVTGATAADTIVLPYNDIDAVRQAFAEFGDQIAAVITEASPGNMGVVPPAPGFNAALRALTAEHGALLIVDEVMTGFRVSRSGWYGIDPVDADLFTFGKVMSGGLPAAAFGGRAEVMERLAPLGPVYQAGTLSGNPVAVAAGLATLRHADAAAYAALDANADRLARLLSDALTNAGVPHQIPRAGNMLSVFFTDTPVTDFASARATQTWRYPPFFHALLDAGVYPPCSAFETWFVSTALDDDAFDRIAAALPAAARAAAGADEGNS

A0QLG2 AF NFT

MOLNFT AF v1

NFT data

MOLNFT A0QLG2 research and analysis (ICN3D with VR)

FASTA sequences

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