Abstract
Despite the abundant diseases caused by rhabdoviruses on plants, animals and men, there are no approved therapeutic drugs. This work targeted viral hemorrhagic septicemia viruses (VHSV), a group of representative rhabdoviruses causing devastating world-wide diseases on fish farmed-species. In particular, their glycoprotein (gpGVHSV) trimers were computationally targeted at its earliest pre-fusion inner interface. Co-evolution initiated from an optimized 2D-molecular parent and the corresponding gpGVHSV -conformer 3D cavity, generated tens of thousands of raw-children, and selected hundreds of cross-fitting conformer variations in a few scaffolds. Their predicted drug-like high affinities in nanoMolar ranges, low toxicities and targeting the pre-fusion inner interface were confirmed by independent algorithms
Supplementary materials
Title
89VHSValignement.docx.
Description
gpGVHSV from 89 amino acid sequences of different isolates from diverse sources were aligned by Clone Manager vs9. The 67EFEDIN and 302LNHLIT amino acid sequences around the R4-linker and the TrD were in bold red letters. Only one (I71T) or three (N203G) mutations (isolates in red), respectively were detected.
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Title
Star-shaped initial design : StarShapedLigands.dwar
Description
Contains small star-shaped tripartite molecules
manually designed by 2D drawing different central atoms / rings and sizes and 3-6 carbon
arms ended by alanines. The designed 2D molecules were manually drawn in MolSoft. To
conserve their 2D geometries during ADV docking, optimal conformers were generated by the DW / mmff94s+ force-field algorithm31 The best ADV conformer docking to gpGVHSV R4-TrD interface contacting all the A,B,C chains of the trimer, was conformer number 30 (cn30). The cn30 conformer was input parent and cavity for DWBEL co-evolution. Files * .dwar can be opened in DW, freely available at https://openmolecules.org/datawarrior/download.html
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Title
Comparative DWBEL and ADV affinities of top-children: 549Children-gpGvhsv.dwar
Description
This *.dwar DW tables contain 549 top-3D
conformers selected by their ADV affinities by 4-runs. The table is provided with threshold
slider-filters to their DW_BEL and ADV docking-scores, Molecular weights and logP properties,
to select for particular threshold combinations. Files *.dwar can be opened in DW, freely
available at https://openmolecules.org/datawarrior/download.html
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Title
To list cavities and their % of thousands of ligands in PyMol: nearby11.py
Description
To compare the cavities preferentially targeted by thousands of new children-conformers, the percentages of docked cavities in gpGVHSV were approximated with the PyMol-Python script nearby11.py. The different gpGVHSV cavities were defined by their three
most characteristic amino acids as: Bc (around the bottom-cavity at the end of the TrD helix) =
317D and/or 320S and/or 335K, R4-TrD (around the R4-TrD α-helix interface) = 67E and/or
304H and/or 307T and Sc (around the trimer side-cavities) = 296T and/or 366S and/or 411Y.
The script calculated the percentages by the formula, 100 * number of children in each virtual
cavity / total numbers of children docked. Copy all files into the same directory ( *.py, gpGVHSV
and output_number.pdbqt). Open the gpGVHSV file in PyMol and load the Python script by
PyMol/File/Run Script/*.py.
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Title
to extract rows from sdf files as selected by their numbers: andrejlike3.py
Description
PyMol-Python script to extract the ADV-conformer row data of the 3313.sdf file (including their DWBEL and ADV affinities) corresponding to Bc and R4-TrD txt
files with the NN numbered conformers classified by their targeting to each of the cavities calculated by nearby11.py.
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Title
PyMol images of 600Children docked to gpGvhsv: 600Children-gpGvhsv.pse
Description
Contains 600 top-children from DWBEL (runs=4)
ADV docked to the gpGVHSV model ordered by from highest to lowest ADV affinities (~ 0.2-200
nM). To view the docked individual children click on the NN number to the right of the PyMol
scene after opening the *.pse file in one of the latest PyMol 2023-24 versions.
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