Recep Adiyaman
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Weekly Digest: Jan 19 - Jan 23, 2026

January 23, 2026 Daily Intelligence
Protein Design Daily

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🧬 Protein Design Digest

Curated protein signals by Recep Adiyaman

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🧬 Weekly Recap

Jan 19 - Jan 23, 2026

Missed a day? Here are the top research signals and tools from Monday to Friday, summarized in one place.


🏆 Top Signals of the Week

🗓️ Friday, Jan 23

DynaBench: Dynamic data for the docking benchmark.

🧬 Abstract

Protein-protein interactions are central to numerous cellular processes, including transport, signaling, and immune response. Structural modeling of protein assemblies typically relies on AlphaFold or docking methods, which produce structural models evaluated against a single experimental reference. While AlphaFold2 and its extension, AlphaFold-Multimer, have advanced complex prediction, they, and conventional docking tools, offer only static representations. However, flexibility at protein-protein interfaces is increasingly recognized as critical for function. To address this limitation, DynaBench provides a benchmark of interface dynamics in biologically relevant protein assemblies. We performed MD simulations for over 200 protein-protein complexes listed in the Docking Benchmark 5.5 ( https://zlab.umassmed.edu/benchmark/), generating three 100 ns long replicas per complex. All trajectories are now publicly available online ( http://www-lbt.ibpc.fr/DynaBench) via the MDposit platform (INRIA node), which is part of the EU-funded Molecular Dynamics Data Bank (MDDB). These simulations offer a unique resource for exploring interfacial flexibility, training machine learning models, redefining accuracy metrics for model evaluation, and informing the design of protein interfaces.

Why it matters: Expands the searchable sequence space for novel folds and high-affinity binders.


📚 All Papers & Quick Reads

🗓️ Friday, Jan 23


🛠️ Tools & Datasets

  • 🛠 Tool: HHSuite - Remote homology detection with HMM-HMM comparison.
  • 🛠 Tool: MAFFT - Multiple sequence alignment with high speed and accuracy.
  • 💾 Dataset: SCOPe - Curated structural classification of proteins for fold analysis.
  • 💾 Dataset: Pfam - Protein families database with curated multiple sequence alignments.

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