P9WJZ0 AF NFT

Probable S-adenosylmethionine-dependent methyltransferase MT3114

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibwvnoocpewufw6g44ocp4u6ytwvascpwkllrmtp7zsbt6uskixa4/metadata.json
IPFS of structure file: 
bafybeihwsp3hf2ikdrfsl7ybqpzqgdio2xu33qxcnyvdbmdzhvyq37t5hy/AF-P9WJZ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x01aba851199Eb07393BDe5cB24AD7B4a1a6998D0
First NFT owner address (bech32): 
genesis1qx46s5gen6c88yaauh9jfttmfgdxnxxswypf27
Current NFT ID #514327 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
514327
Accession (UniProt):
P9WJZ0
Name::
Probable S-adenosylmethionine-dependent methyltransferase MT3114
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WJZ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJZ0|Y3030_MYCTO Probable S-adenosylmethionine-dependent methyltransferase MT3114 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT3114 PE=3 SV=1 MCAFVPHVPRHSRGDNPPSASTASPAVLTLTGERTIPDLDIENYWFRRHQVVYQRLAPRCTARDVLEAGCGEGYGADLIACVARQVIAVDYDETAVAHVRSRYPRVEVMQANLAELPLPDASVDVVVNFQVIEHLWDQARFVRECARVLRGSGLLMVSTPNRITFSPGRDTPINPFHTRELNADELTSLLIDAGFVDVAMCGLFHGPRLRDMDARHGGSIIDAQIMRAVAGAPWPPELAADVAAVTTADFEMVAAGHDRDIDDSLDLIAIAVRP