P9WM97 AF NFT

Uncharacterized protein Rv0028

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihiw3yua33xluveylnzzqjueqvfts35u7f5ns2ct7ad3ombmmst5q/metadata.json
IPFS of structure file: 
bafybeibwxd5ikdcxleeamentkmlkrmaoh7c63tctbjvl7mqkg2dw3rlzma/AF-P9WM97-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #502854 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
502854
Accession (UniProt):
P9WM97
Name::
Uncharacterized protein Rv0028
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WM97 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WM97|Y028_MYCTU Uncharacterized protein Rv0028 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv0028 PE=1 SV=1 MTDANPAFDTVHPSGHILVRSCRGGYMHSVSLSEAAMETDAETLAEAILLTADVSCLKALLEVRNEIVAAGHTPSAQVPTTDDLNVAIEKLLAHQLRRRNR