O27209 AF NFT

Uncharacterized protein MTH_1137

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifk6xlaiynzaua62edcgecrbignpuybachssbjpzheyrdllwtva44/metadata.json
IPFS of structure file: 
bafybeif4mnwxxswdqoka73xesveiwh7lxmfjedmhs2ovr23pepvbzv654e/AF-O27209-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6dF8740DB66EA0E28dc7A9ed64F13eCBcdEEd7D9
First NFT owner address (bech32): 
genesis1dhu8grdkd6sw9rw848kkfuf7e0x7a47efxjn0a
Current NFT ID #504576 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
504576
Accession (UniProt):
O27209
Name::
Uncharacterized protein MTH_1137
Experimental Method:
Predicted structure
Sequence source:
METHANOTHERMOBACTER THERMAUTOTROPHICUS (STRAIN ATCC 29096 / DSM 1053 / JCM 10044 / NBRC 100330 / DELTA H)

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 O27209 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O27209|Y1137_METTH Uncharacterized protein MTH_1137 OS=Methanothermobacter thermautotrophicus (strain ATCC 29096 / DSM 1053 / JCM 10044 / NBRC 100330 / Delta H) OX=187420 GN=MTH_1137 PE=4 SV=1 MHELIREAVDNPGTAWEIIKMDRDVTEVVDAVSDLSREDKIKLGATFKRFPLGCDLTELIVGTCASDLEKIDLMGNCMLSDTIGATIHVCAYAFADIAESYGMRPVELMREVRETTEVPLDLDHFGRYGPMRFPRSITGCGGQCYLEGPPFEGCPRERIHARLLDREKEGLSDREEWVELSSSVAVNLTPVQGAETHAAPLEEAEEVLELARKHGKGVEAIMFVGDGYDDLISGFEAGLEMGVDVFVLEGGPFNLAGDRLDAFAGAVAAARILTPGKIVATNGAYEDECRIGLRAGLNAIITGFPKNHHGYMCGYTPGTARRGKFGLPRVMKIMREEVESGLTPVPIQKAQLEALAAAVKVSGTENVYPRTLGYTYVGDAHWACLPSTPLYERVEVKRDVNALVKMAEDGDIHGRVAIFGARFVSWVIADKLDGLVDEFVIVDRDPWVEQVTVDNLRSELRTDVHPGNSDDEGAYSSADSSIVSTTIPQISAKISGKFRDTVTLV