Q65GT9 AF NFT

5'-methylthioadenosine/S-adenosylhomocysteine nucleosidase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicjsbts4rjb6qipajakxyttckmo4tru727mdmxxypyfkuok45k6sm/metadata.json
IPFS of structure file: 
bafybeiann6bhi7cpcreqojaaqbembdg42secay7kcqyya6qry7euoenbri/AF-Q65GT9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0D671490EE06E75975e90D7F99F73B20BE618744
First NFT owner address (bech32): 
genesis1p4n3fy8wqmn4ja0fp4lenaemyzlxrp6y5ma6w5
Current NFT ID #248491 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
248491
Accession (UniProt):
Q65GT9
Name::
5'-methylthioadenosine/S-adenosylhomocysteine nucleosidase
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65GT9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65GT9|MTNN_BACLD 5'-methylthioadenosine/S-adenosylhomocysteine nucleosidase OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=mtnN PE=3 SV=1 MKIAVIGAMEEEVTILRSKLEQTNREVIANCEFTSGFYEGKEVVLLKSGIGKVNAAMSTTILLDRFKPDVVINTGSAGGFHHSLNVGDIVISTEVRHHDVDVTAFDYEYGQVPNLPAAYKADNALIQAAEDEASELGHIQVVKGTIATGDSFMSDPDRVAFIRGKFEDLYAVEMEAAAVAQVSYQFNTPFVVIRALSDIAGKESEISFDQFLEQAAKHSTDLVLRMIKRIN