Q65FV8 AF NFT

S-adenosylmethionine synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeife367kaqrsymehct7uhskwmm7jlxt46ywwgprvhvgooxi7xyfwaa/metadata.json
IPFS of structure file: 
bafybeig2vdrjcfyll3yfcyjfdhjzdahjvqyboz4qjjltz244r3my2g3an4/AF-Q65FV8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0CC4140Ba225D530b2DC080d22627144DEBB1186
First NFT owner address (bech32): 
genesis1pnzpgzazyh2npvkupqxjycn3gn0tkyvx4m40qh
Current NFT ID #231403 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
231403
Accession (UniProt):
Q65FV8
Name::
S-adenosylmethionine synthase
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 Q65FV8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65FV8|METK_BACLD S-adenosylmethionine synthase 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=metK PE=3 SV=1 MSKNRRLFTSESVTEGHPDKICDQISDSILDEILKKDPNARVACETSVTTGLVLVSGEITTSTYVDIPKTVRETIKEIGYTRAKYGFDAETCAVLTSIDEQSPDIAMGVDQALEAREGAMSDAEIEAIGAGDQGLMFGFACNETKELMPLPISLAHKLSRRLTEVRKEEILPYLRPDGKTQVTVEYDENNKPIRIDTIVISTQHHPEISLEQIQRNLKEHVINPVVPKELIDENTKYFINPTGRFVIGGPQGDAGLTGRKIIVDTYGGYARHGGGAFSGKDATKVDRSAAYAARYVAKNIVAAGLADSCEVQLAYAIGVAQPVSISIDTFGTGKASEETLIEVVRKNFDLRPAGIIKMLDLRRPIYKQTAAYGHFGRLDLDLPWERTDKADQLKKDALGE