A0QGF2 AF NFT | MOLNFT bioinformatics, blockchain

Putative S-adenosyl-L-methionine-dependent methyltransferase MAV_2803

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeieixrar4tfzbiokedpq5sehwx5ookmgpcgycg35rulmcn2jwuonly/metadata.json

IPFS of structure file:

bafybeiaaduw6b4smy4uei6bisnut62jptnelsywq4i4p55je45mm2s7xwe/AF-A0QGF2-F1-model_v2.pdb

First NFT owner address (eip-55):

0xF422fba89D6e5AbC852852b615911B1c015A34ec

First NFT owner address (bech32):

genesis17s30h2yadedtepfg22mptygmrsq45d8vp6u8sw

Current NFT ID #513702 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513702
Accession (UniProt):
A0QGF2
Name::
Putative S-adenosyl-L-methionine-dependent methyltransferase MAV_2803
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 A0QGF2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0QGF2|Y2803_MYCA1 Putative S-adenosyl-L-methionine-dependent methyltransferase MAV_2803 OS=Mycobacterium avium (strain 104) OX=243243 GN=MAV_2803 PE=3 SV=1 MTTPQFGSQRSDDDNWDIVSSVGYTALLVAGWRALHAVSPRPLVRDDYAKTFIAASGDPYLTGVLANPGTSEDELAFPRLYGVQTRFFDDFFDAAGAAGIRQAVIIAAGLDSRAYRLEWPPATTVFEVDLAKVLEFKARVLGEQGAVPKARRVEVAADLRADWSRPLEAAGFDVESPSAWSVEGLLPYLTDEAQHALFTRISGLSAPGSRIAIGALGSRLDHDQLHALEESHPGVDVSGNVDFSALTYEPQSDPAEWLAAHGWVVDPVRNTLDLQAGYGMTPPEVDVKIDGFMRSQYITAAR