Q2IXR3 AF NFT

Elongation factor G

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiche7hfahsrv7lt7bpu5lz47piu3ppve2u3xginyqkmgjlzko3wam/metadata.json
IPFS of structure file: 
bafybeieozxj6zfnv6xnefhmm6uwicrsdixndm6hi34vc3bl46paifmcfju/AF-Q2IXR3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdc97e953B1a926A79e803518D45128CFF95817d1
First NFT owner address (bech32): 
genesis1mjt7j5a34yn2085qx5vdg5fgelu4s973wswxrc
Current NFT ID #111653 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
111653
Accession (UniProt):
Q2IXR3
Name::
Elongation factor G
Experimental Method:
Predicted structure
Sequence source:
RHODOPSEUDOMONAS PALUSTRIS (STRAIN HAA2)

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 Q2IXR3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2IXR3|EFG_RHOP2 Elongation factor G OS=Rhodopseudomonas palustris (strain HaA2) OX=316058 GN=fusA PE=3 SV=1 MPRVHAIEDYRNFGIMAHIDAGKTTTTERILFYTGKSHKIGEVHEGAATMDWMAQEQERGITITSAATTAFWNGKRLNIIDTPGHVDFTIEVERSLRVLDGAVCVLDSNQGVEPQTETVWRQGDKYRVPRIVFANKMDKTGADFFKCLQDIVDRLGAKPVAIQLPIGSENNFKGLIDLVRMKAVVWNDESLGAKFEDTDIPEDLLEQAKEYREKMIEAAVELDDDAMAAYLDGKEPDEATLKRLIRKAVLNGAFYPVLCGSAFKNKGVQPLLDAVVDYLPSPVDVPAIKGIDEDGNEVVRKADDSEPLALLAFKIMDDPFVGTITFCRIYSGVLQSGTGVVNSTREKKERIGRMLLMHANNREDIKEAYAGDIVALAGLKEARTGDTLCDPAKPVILEKMEFPEPVIEIAIEPKSKADQEKLGVALAKLAAEDPSFRVSTDIESGQTILKGMGELHLDIKVDILKRTYKVDANIGAPQVAFRERITKKAEVDYTHKKQTGGTGQFAAVSFIVEPNEPGAGYEFISKVVGGSVPKEYIPGVEKGIESVLGSGVVAGFPVVDVKVTLVDGKYHDVDSSALAFEIASRAAFREALQKGKSVLLEPIMKVECVTPEDYTGSVIGDLNSRRGQIQGQDMRGNANVINAMVPLMNMFGYVNNLRSMSQGRATFTMQFDHYAEAPANVSAEVQKKFA