Berke Türkaydin

Computational Drug Discovery Scientist

Berke
Türkaydin

PhD Fellow · Computational Biophysics & Structural ChemistryMolecular Dynamics · Protein Design

Decoding membrane protein dynamics through molecular simulation, generative design, and machine learning; translating atomistic insight into drug discovery decisions.

About

Where Computation Meets the Bench

I am a computational drug discovery scientist with over 6 years of experience at the interface of biophysics, structural biology, and data-driven modeling. My PhD research focuses on ion channels and complex membrane proteins, using molecular dynamics simulations to decode allosteric mechanisms and conformational landscapes.

I specialize in translating experimental questions into computational hypotheses, combining MD methods and ML-based approaches with Python-driven analysis pipelines to extract mechanistic insight and guide drug discovery campaigns.

Beyond simulation, I am passionate about scientific visualization: I create publication-quality illustrations and cinematic MD trajectory movies using Blender, PyMOL, VMD, and Affinity Designer. I am actively expanding into ML-based protein design, generative models for small molecules, and structure prediction pipelines.

Education

2021–2026

PhD — Computational Biophysics & Structural Chemistry

FMP Berlin — Technische Universitat Berlin

Protein dynamics, allostery, ion channels, protein–ligand interactions

2018–2021

MSc — Biochemistry

Freie Universitat Berlin

Structural characterization and biophysical analysis of proteins

2012–2018

BSc — Molecular Biology

Istanbul Technical University

Molecular biology foundations

Work

Research Highlights

Protein Dynamics

Atomistic Mechanism & Allosteric Regulation of TREK K2P Channels

Executed extensive multi-microsecond molecular dynamics simulations (including OPES-enhanced sampling) of TREK K2P channel constructs to map the free-energy landscape of gating and conduction states. Developed and validated custom collective variables and used kernel-based reweighting to extract high-resolution free-energy surfaces differentiating up- and down-states of the channel. Designed and implemented high-throughput simulation workflows on several different HPC environments and cloud-based simulation infrastructure. Executed protein-ligand MD simulations to understand atomistic effect and stability of small molecules. Parameterized phosphorylation mimics and lipid-tether modifications to probe how the cytosolic proximal C-terminus (pCt) couples with the selectivity filter (SF), and demonstrated two distinct allosteric pathways controlling ion conduction. Worked closely with experimental collaborators, communicated simulation results to electrophysiologists.

GROMACSMDAnalysisPythonPyMOLHPC
ML

Machine Learning–Driven Analysis & Optimization of MD Simulations

Applied machine learning workflows to extract high-value structural features from large-scale MD simulations of membrane proteins and ion channels. Built PyTorch-based models for dimensionality reduction (autoencoders / tICA-inspired networks) and clustering to identify hidden conformational states and transition pathways. Integrated RDKit to engineer chemical and molecular descriptors, improving ligand-recognition features and enhancing interpretation of protein–ligand trajectories. Used ML-driven insights to optimize MD simulations, including: selecting more informative collective variables, initializing enhanced-sampling runs from ML-identified metastable states, prioritizing sampling regions predicted to impact energetic barriers.

PyTorchMachine LearningRDKitSimulation Optimization
Enhanced Sampling

OPES Simulation & Free-Energy Mapping of TREK K2P Channels

Performed extensive OPES-enhanced MD simulations to explore the free-energy landscape of TREK K2P ion channels and understand allosteric coupling mechanisms. Designed and optimized collective variables to capture functionally relevant conformational transitions. Applied kernel reweighting and advanced analysis pipelines to reconstruct accurate free-energy surfaces. Identified structural pathways through which phosphorylation, membrane-stretch and a disease mutant modulates gating and channel dynamics. Communicated mechanistic insights to interdisciplinary collaborators and contributed to manuscript development.

GROMACSPLUMEDHPC/SLURMPython

Skills

Technical Expertise

Molecular Simulation

GROMACSAMBEROpenMMNAMDGaussianPLUMED

Enhanced Sampling & Free Energy

MetadynamicsUmbrella SamplingOPESAdaptive Sampling

Structural Biology & Docking

Homology ModelingMolecular DockingStructure PredictionRDKit

Visualization & Design

BlenderPyMOLVMDAffinity DesignerScientific IllustrationMD Movies

Data & Programming

PythonMDAnalysisNumPypandasmatplotlibJupyter

ML & AI

PyTorchProtein Structure Predictionscikit-learnGenerative ModelsGraph Neural Networks

Infrastructure & HPC

SLURMHPC ClustersGPU ComputingGit / GitHubCondaBash Scripting

Research

Publications

Google Scholar
Featured

Energetic cross-talk of filter gate and lower helices drives polymodal regulation and disease in TREK K2P channels

Berke Türkaydin, Valerio Rizzi, Chaimae Benkerdagh, Simon Ghysbrecht, Simone Aureli, Thomas Baukrowitz, Marcus Schewe, Francesco Luigi Gervasio, Han Sun

Nature Communications (Under Review) · 2026

Featured

Atomistic mechanism of coupling between cytosolic sensor domain and selectivity filter in TREK K2P channels

Berke Türkaydin, Marcus Schewe, Elena Barbara Riel, Friederike Schulz, Johann Biedermann, Thomas Baukrowitz & Han Sun

Nature Communications · 2024

Featured

The opening dynamics of the lateral gate regulates the activity of rhomboid proteases

Claudia Bohg, Carl Öster, Berke Türkaydin, Michael Lisurek, Pascal Sanchez-Carranza, Sascha Lange, Tillmann Utesch, Han Sun, Adam Lange

Science Advances · 2022

Visualization

Scientific Portfolio

Allostery at the Membrane Interface
Image

Allostery at the Membrane Interface

Atomistic portrait of BL1249 docked at the fenestration of TREK2 — a small molecule that modulates channel gating without ever contacting the selectivity filter, acting entirely through long-range allosteric coupling across the lipid bilayer.

PyMOLBlenderAffinity Designer
Open or Shut: The Two Faces of TREK2
Image

Open or Shut: The Two Faces of TREK2

Side-by-side structural comparison of TREK2's conductive and non-conductive states embedded in a lipid bilayer — the atomic-resolution basis for the mechano- and thermosensitive gating switch.

PyMOLBlenderAffinity Designer
One Microsecond, One Ion at a Time
Movie

One Microsecond, One Ion at a Time

Cinematic rendering of a 1 µs all-atom MD trajectory: potassium ions queuing, dehydrating, and threading through TREK2's selectivity filter via the knock-on mechanism — selective and fast, one passage at a time.

VMDBlenderGROMACS
The Druggable Landscape of TREK2
Movie

The Druggable Landscape of TREK2

4K cinematic atlas of TREK2's pharmacological surface — orthosteric pockets, fenestration-facing cavities, and lipid-interfacial sites that each access gating through distinct allosteric pathways. One channel, many handles.

BlenderPyMOLVMD

Contact

Get in Touch

Open to research collaborations, industry opportunities, and scientific visualization projects.

contact@berketurkaydin.comDownload CV

© 2026 Berke Türkaydin