Q73ZI1 AF NFT

Putative S-adenosyl-L-methionine-dependent methyltransferase MAP_1622c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiabvz7ytlnfbv7bwjseaybngy7hhrdc54ogv6nglycw73i43r267u/metadata.json
IPFS of structure file: 
bafybeiddnfwmuizknoqolc44vt3obfp3qvib5qsokcatygkn6iqy5yt2im/AF-Q73ZI1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3
First NFT owner address (bech32): 
genesis1gmhu57ydqw37s7w6ekuk254t3w78ug9ndfc7sx
Current NFT ID #508310 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
508310
Accession (UniProt):
Q73ZI1
Name::
Putative S-adenosyl-L-methionine-dependent methyltransferase MAP_1622c
Experimental Method:
Predicted structure
Sequence source:
MYCOLICIBACTERIUM PARATUBERCULOSIS (STRAIN ATCC BAA-968 / K-10)

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 Q73ZI1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q73ZI1|Y1622_MYCPA Putative S-adenosyl-L-methionine-dependent methyltransferase MAP_1622c OS=Mycolicibacterium paratuberculosis (strain ATCC BAA-968 / K-10) OX=262316 GN=MAP_1622c PE=3 SV=1 MTTPQFGSQRSDDDNWDIVSSVGYTALLVAGWRALHAVSPRPLVRDDYAKTFIAASGDPYLTGVLANPGTSEDELAFPRLYGAQTRFFDDFFDAAGAAGIRQAVIIAAGLDSRAYRLEWPPATTVFEVDLAKVLEFKARVLGEQGAVPKARRVEVAADLRADWSRPLEAAGFDVESPSAWSVEGLLPYLTDEAQHALFTRISGLSAPGSRIAIGALGSRLDHDQLHALEESHPGVDVSGNVDFSALTYEPQSDPAEWLAAHGWVVDPVRNTLDLQAGYGMTPPEVDVKIDGFMRSQYITAAR