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Molecular Dynamics Simulation with AMBER: A Practical Guide – Part 1
AMBER, biyomoleküler simülasyonları gerçekleştirmeyi sağlayan yazılım paketinin adıdır. AMBER programının geliştirilmesi 1970'lerin sonlarında başlamıştır. AMBER, başlangıçta Peter Kollman'ın liderliğinde geliştirilmiş olup programın geliştirilme süreci şu anda aktif bir topluluk tarafından devam ettirilmektedir. "AMBER" teriminin iki anlamı bulunmaktadır.

Ahmet Güveli
Mar 65 min read


Time Integration Algorithms in Molecular Dynamics Simulations
Molecular dynamics (MD) simulations are a powerful computational tool for understanding structure–dynamics–function relationships at the atomic level; however, reaching long timescales, especially in large biomolecular systems, entails substantial computational cost. For this reason, numerous “acceleration algorithms” have been developed, ranging from the numerical integration of the equations of motion—forming the foundation of classical MD—to the optimization of force calcu

Emre Can Buluz
Mar 15 min read


Achieving Equilibrium in Molecular Dynamics: Temperature and Pressure Control in NVT and NPT Ensembles
When investigating the behavior of microscopic systems using in silico methods, it is critically important to define the physical conditions under which the system evolves. While energy is conserved in an isolated system (microcanonical ensemble), real experimental conditions are typically open to heat and work exchange with the surrounding environment.

İlayda Boyraz
Feb 84 min read


Introduction to Molecular Dynamics (MD) Simulations
Bilgisayar tabanlı moleküler dinamik (MD) simülasyonları, klasik hareket kurallarını kullanarak biyolojik sistemlerde yer alan atom ve moleküllerin zaman içerisindeki hareketlerini inceler. 1950'lerden beri moleküler simülasyonlar; yoğun madde sistemlerindeki sorunları çözmek çözmek amacıyla kullanılmaktadır.

Yağmur Çavaş
Jan 244 min read


Computational Evaluation of ADME Parameters: A SwissADME Tutorial
Understanding how a potential drug candidate behaves in the body—whether it can reach the target site at sufficient concentrations and how long it remains in its bioactive form—constitutes one of the cornerstones of successful drug development. ADMET analysis provides a systematic framework for these evaluations, and in silico models offer valid alternatives, particularly at early stages when access to physical samples is limited.

Ahmet İrk
Dec 23, 20255 min read
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