Seminario: Comparación estructural entre ortólogos modelados (PyMOL, Chimera, TM align)

Seminario: Comparación estructural entre ortólogos modelados (PyMOL, Chimera, TM align)

🎙 Anderson Ortiz 👥 6K 📅 November 17, 2025 ⏱ 30 min 👁 21 📄 science communication 🧭 2026-08-15
Available in: English (current) Français

Keywords

orthologsstructural comparisonPyMOLChimeraTM-alignRMSDTM-scoreprotein modeling

Summary

The seminar, presented by Anderson Ortiz at the Instituto de Genética Barbara McClintock, introduces tools for structural comparison of modeled orthologous proteins. It explains the importance of comparing structures over sequences, as structure determines function. Key concepts include orthologs, protein modeling, and metrics like RMSD and TM-score. The presentation covers PyMOL, Chimera/ChimeraX, and TM-align, demonstrating their features for visualization, alignment, and analysis. Practical applications in drug design, personalized medicine, and protein engineering are highlighted. A case study from a hackathon involves using PyMOL to modify a nanobody and align it with a diffusion model-generated structure. The seminar concludes with a discussion on the role of visualization in structural biology and the potential of AI-based tools like AlphaFold and RFdiffusion.

119 words

Critical Evaluation

Value of the Information & Strength of the Argument

The presentation provides a practical overview of structural comparison tools, emphasizing their utility in research. The argumentation is clear and logical, supported by examples from the speaker’s experience. However, it lacks depth in explaining the underlying algorithms and does not critically compare the tools’ performance. The value lies in its practical guidance for researchers new to structural bioinformatics.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is moderate; the speaker references general concepts and tools but does not cite specific papers or sources. The title accurately reflects the content. The description mentions the seminar is part of internal group meetings, which may limit the depth of scientific scrutiny. No external sources are provided in the description beyond a WhatsApp channel.

130 words

Title / Content Match

The title accurately reflects the content, which focuses on structural comparison of modeled orthologs using PyMOL, Chimera, and TM-align.

Quality & Reliability

7/10

The presentation is based on established bioinformatics tools and methods, with practical examples. However, it lacks formal citations and is presented as a seminar for an internal group, limiting its scientific rigor.

Key Moments

Cited Sources

Concurring Sources

  • PyMOL — Widely used for molecular visualization and structural alignment.
  • UCSF ChimeraX — High-performance visualization and interactive alignment tool.
  • TM-align — Algorithm for structural alignment and TM-score calculation.

Contribution & Novelties

The seminar provides a practical introduction to structural comparison tools, with a focus on their application to modeled orthologs. It highlights the importance of structural over sequence comparison and demonstrates real-world use cases. The speaker shares insights from a hackathon, showcasing the integration of AI-based tools like RFdiffusion with PyMOL.

Pour aller plus loin :

  • PyMOL — Official website for PyMOL, a widely used molecular visualization system.
  • UCSF ChimeraX — Official website for ChimeraX, a modern molecular graphics program.
  • TM-align — Server for TM-align, an algorithm for protein structure alignment and TM-score calculation.
  • AlphaFold — DeepMind’s AlphaFold, a revolutionary AI system for protein structure prediction.
  • RFdiffusion — GitHub repository for RFdiffusion, a generative model for protein design.

117 words

Radar Profile

The radar profile shows balanced scores across information quantity, quality, technical level, and reliability, indicating a well-rounded presentation. The technical level is slightly lower, suggesting the content is accessible to a broad audience.

Reliability 7/10

💬 No comments were provided for analysis.