P9WM64 AF NFT

Acyl carrier protein MT0109

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiglqnkl3xtib6luux2q6kpi6f7mviznp4t266y4i6py5tn2dbf4he/metadata.json

IPFS of structure file:

bafybeias2pgn56ywdh2lz767cgmextjrpftqyk4zslrmwqz3fusebbham4/AF-P9WM64-F1-model_v2.pdb

First NFT owner address (eip-55):

0x7012c0b45c68a2c067644b9d3e5DDa06892c6957

First NFT owner address (bech32):

genesis1wqfvpdzudz3vqemyfwwnuhw6q6yjc62hg2ks0z

Current NFT ID #3929 owner (web3):

0x7012c0b45c68a2c067644b9d3e5DDa06892c6957

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
3929
Accession (UniProt):
P9WM64
Name::
Acyl carrier protein MT0109
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WM64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WM64|AC100_MYCTO Acyl carrier protein MT0109 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT0109 PE=3 SV=1 MRDRILAAVCDVLYIDEADLIDGDETDLRDLGLDSVRFVLLMKQLGVNRQSELPSRLAANPSIAGWLRELEAVCTEFG

MOLNFT AF v1_w

NFT data

MOLNFT P9WM64 research and analysis (ICN3D with VR)

FASTA sequences

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