C5D672 AF NFT

UPF0173 metal-dependent hydrolase GWCH70_2696

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicekshlwwnb63rqsu7bismlsvddibncp5uxjoxmniyqklfu4uln7a/metadata.json
IPFS of structure file: 
bafybeicvxtweafiwelvlkckxtxkqruegvzl4yefurhysyydncp73gvw6ju/AF-C5D672-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD658EdA82c91e0f47BE623f902f6e81aA4f0b51e
First NFT owner address (bech32): 
genesis16evwm2pvj8s0g7lxy0us9ahgr2j0pdg7tc052t
Current NFT ID #513371 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513371
Accession (UniProt):
C5D672
Name::
UPF0173 metal-dependent hydrolase GWCH70_2696
Experimental Method:
Predicted structure
Sequence source:
Geobacillus sp. (strain WCH70)

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 C5D672 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C5D672|Y2696_GEOSW UPF0173 metal-dependent hydrolase GWCH70_2696 OS=Geobacillus sp. (strain WCH70) OX=471223 GN=GWCH70_2696 PE=3 SV=1 MKVTYHGHSVVKIETNGKTIFIDPFITGNGATDLKLEDVKADVILLTHGHGDHVGDTVQLAKKNNALVIAPFELATYLGWQGVNTHPMHIGGAHQFDFGKVKLTQAFHGSGYVTEDKQIIYLGMPAGILFTAEGKTIYHAGDTGLFSDMKLIGERNSIDVAFLPIGDNFTMGPEDAAVAAEWLRAKIVVPIHYNTFPVIAQDPHQFVALLPDGVGRVLKPGEGIEL