A3PVF2 AF NFT

Putative S-adenosyl-L-methionine-dependent methyltransferase Mjls_1072

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicoquax3u4hrutlq7uhbndsnd4zxe2lbqd7p7ewt6s3nwyktwzvgm/metadata.json
IPFS of structure file: 
bafybeiepzthwj3qd7w4nh365zrstc4bcbw2m55nz5vqq3ub5xmkrok4wda/AF-A3PVF2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9Ec94c6148F6b532E1677ED2BC7dce3c02B1e434
First NFT owner address (bech32): 
genesis1nmy5cc2g766n9ct80mftclww8sptrep57x9l0x
Current NFT ID #504107 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
504107
Accession (UniProt):
A3PVF2
Name::
Putative S-adenosyl-L-methionine-dependent methyltransferase Mjls_1072
Experimental Method:
Predicted structure
Sequence source:
Mycobacterium sp. (strain JLS)

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 A3PVF2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3PVF2|Y1072_MYCSJ Putative S-adenosyl-L-methionine-dependent methyltransferase Mjls_1072 OS=Mycobacterium sp. (strain JLS) OX=164757 GN=Mjls_1072 PE=3 SV=1 MARSDEDSWDLASSVGATATMVAAARAVASRGPEALIDDPYADALVRAVGVEYFVKLLDGEITLEADNAAMLAVMTDVMAVRTRFFDDFFLSSGLPQAVILASGLDARAYRLPWPSGSVVYEIDQPEVIEFKTRTLADLGASPAAELRTVAIDLRDDWPRALRDRGFDPTAPTAWIAEGLLIYLPPDAQDRLFDNITALSAPGSRLATEFHPDAGARIGASSQRMAEEWRRHGLDLDMADLFYDGERNPVVDYLRERGWEVEARSRPDMFAHYGRPFPTGEAVEALRQSLAVTATRR