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Chapter 10: Capstone Project: SARS-CoV-2 Mpro Virtual Screening, PyMOL 3D & BIOVIA 2D Interaction Reports

Tested Stacks: GATK 4.6.1 Samtools 1.21 Nextflow 24.10 Seurat v5.1 Python 3.12
Prerequisites: Basic Linux CLI & Sequencing Formats
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Module 10 • Capstone Project Track 22 • 10 Modular Chapters AutoDock Vina • PyRx • PyMOL

Chapter 10: Capstone Project: SARS-CoV-2 Mpro Virtual Screening, PyMOL 3D & BIOVIA 2D Interaction Reports

End-to-end virtual screening capstone: targeting SARS-CoV-2 Main Protease (6LU7) with a 500-compound natural product & repurposed drug library; 3D binding pose visualization in PyMOL; 2D interaction mapping in BIOVIA Discovery Studio; and Quarto reporting.

⏱️ Estimated Study: 45–60 mins 🧪 Workflows: OpenBabel, AutoDock Vina, CB-Dock2, PyMOL, Discovery Studio 📋 Level: Beginner to Advanced Computational Biophysics

1. Capstone Case Study: SARS-CoV-2 Main Protease (6LU7) Virtual Screening

In this capstone, you will execute an end-to-end drug discovery campaign against the SARS-CoV-2 Main Protease ($M^{\text{pro}}$ / 3CLpro), an essential homodimeric cysteine protease required for viral polyprotein cleavage.

Target Specifications & Catalytic Dyad:

  • Target PDB: 6LU7 (Co-crystallized with N3 peptidomimetic inhibitor, $2.16\text{ \AA}$ resolution).
  • Catalytic Dyad Residues: His41 (general base) and Cys145 (nucleophile).
  • Grid Box Coordinates: center_x = -10.8, center_y = 12.5, center_z = 68.8, size = 22.0 x 22.0 x 22.0 Å.
  • Screening Library: 500 curated natural products and FDA-approved repurposed antivirals from ZINC20 / PubChem.

2. 3D Interaction Rendering with PyMOL

Generate publication-quality 3D ray-traced figures illustrating the binding pose, hydrogen bond network, and electrostatic surface:

python # pymol_render_pose.pml: PyMOL Script for 300 DPI Publication Figure
# Load receptor and top docking pose
load target_clean.pdb, receptor
load docking_results/top_hit_out.pdbqt, ligand

# Styling receptor cartoon & colors
hide everything, all
show cartoon, receptor
color slate, receptor
set cartoon_transparency, 0.2

# Show ligand in sticks
show sticks, ligand
util.cbag ligand

# Select active-site binding pocket residues within 4.5 Angstroms of ligand
select pocket, (receptor within 4.5 of ligand)
show sticks, pocket
color gray80, pocket
util.cnc pocket

# Identify catalytic dyad specifically
select catalytic, resi 41+145 in receptor
color tv_orange, catalytic

# Calculate and display polar contacts / hydrogen bonds (< 3.2 A)
distance hbonds, ligand, pocket, 3.2, mode=2
set dash_color, yellow
set dash_width, 2.5
set dash_gap, 0.25

# Orient viewport, set lighting, and ray trace at 300 DPI
zoom ligand, 4.0
set ray_shadows, 1
set antialias, 2
ray 2400, 1800
png sars_cov2_mpro_top_hit_3d.png, dpi=300

3. 2D Molecular Interaction Mapping (BIOVIA Discovery Studio)

2D interaction schematics provide an unambiguous breakdown of every non-covalent contact:

Interaction TypeDiscovery Studio Color CodeResidue Example (6LU7)Distance Range
Conventional Hydrogen BondBright Green dashed lineGly143 (N-H), Cys145 (N-H)$2.1 – 2.9\text{ \AA}$
Carbon-Hydrogen BondLight Cyan dashed lineHis164, Gln189$2.7 – 3.4\text{ \AA}$
π-π T-Shaped / StackedMagenta / Dark PinkHis41 imidazole ring$3.8 – 4.8\text{ \AA}$
Alkyl / π-Alkyl HydrophobicLight Pink / OrangeMet49, Met165, Pro168$3.5 – 5.2\text{ \AA}$

4. Compiling the Executive Drug Discovery Report

Synthesize your computational findings into a standardized Quarto report containing the following mandatory sections:

  1. Executive Summary: Target biological rationale, therapeutic mechanism, and screen scale.
  2. Methodology: PDB code, resolution, water policy, protonation state assignment (pH 7.4), software versions (AutoDock Vina 1.2+, PyRx, OpenBabel), grid box parameters, and exhaustiveness setting.
  3. Top Hit Ranking Table: Compound ID, chemical name, 2D structure, Vina affinity score ($\Delta G$), Ligand Efficiency ($LE$), Lipinski violations, and PAINS clearance.
  4. Interaction Profiling: Table enumerating all hydrogen bonds (donor, acceptor, distance in Å) and hydrophobic contacts with key catalytic residues.
  5. Validation & Next Steps: Redocking RMSD validation ($\le 1.5\text{ \AA}$ for co-crystallized control), MM-GBSA binding free energy rescoring, and recommendations for downstream in vitro enzymatic assays ($\text{IC}_{50}$ determination).
⚠️

Common Pitfalls & Troubleshooting Checklist

  • Java Heap Exhaustion (GATK / Picard): If processes terminate with java.lang.OutOfMemoryError, set your environment variable explicitly: export _JAVA_OPTIONS="-Xmx16g -Djava.io.tmpdir=/tmp".
  • Index Timestamp Mismatch: If tools complain that a BAM index is missing or out of date, regenerate with samtools index -@ 4 sample.bam.
  • Conda Channel Conflicts: Avoid ABI incompatibilities between bioconda and conda-forge by setting strict priority: conda config --set channel_priority strict.
  • Chromosome Naming Contamination: Always verify whether reference FASTA headers use chr1 or 1; divergent naming causes silent alignment drops.
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