Q985M2 AF NFT

HTH-type transcriptional regulator BetI

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibv2hmbcdxngy2ajpudxeaxwedpua4nejn27ski7ptv6sfgp23jza/metadata.json
IPFS of structure file: 
bafybeihkx6zma7oubf6tq73bmcyqnknhcpghdin3wqd7jusarcslcjbdhi/AF-Q985M2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9188600a0FCa2914254C94299b1bd9721Bc4D500
First NFT owner address (bech32): 
genesis1jxyxqzs0eg53gf2vjs5ekx7ewgduf4gquehckf
Current NFT ID #42277 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
42277
Accession (UniProt):
Q985M2
Name::
HTH-type transcriptional regulator BetI
Experimental Method:
Predicted structure
Sequence source:
MESORHIZOBIUM JAPONICUM (STRAIN LMG 29417 / CECT 9101 / MAFF 303099)

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 Q985M2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q985M2|BETI_RHILO HTH-type transcriptional regulator BetI OS=Mesorhizobium japonicum (strain LMG 29417 / CECT 9101 / MAFF 303099) OX=266835 GN=betI PE=3 SV=1 MPKVGMEPLRRKALIDATISAIGERGSLDVTMSEIAGRAGVSSALAHHYFGAKDELLFATMRHILAELTIDMRRALQSAKSPRERVSAVVAVNFSDIQFQAQTIAAWLAFYVEAQKSSALRRLLKIYARRLHSNLMSGLTGILPRAEADSAAEATAAMIDGLYIRRALKDGVPNAATAIALVEDYLETKLGERQKQ