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We developed a novel method based on the Fourier analysis of protein molecular surfaces to speed up the analysis of the vast structural data generated in the post-genomic era. This method computes the power spectrum of surfaces of the…

Quantitative Methods · Quantitative Biology 2015-09-18 C. Sofia Carvalho , Dimitrios Vlachakis , Georgia Tsiliki , Vasileios Megalooikonomou , Sophia Kossida

Understanding the structural and functional characteristics of proteins are crucial for developing preventative and curative strategies that impact fields from drug discovery to policy development. An important and popular technique for…

Machine Learning · Computer Science 2024-10-17 Sarwan Ali , Taslim Murad , Prakash Chourasia , Haris Mansoor , Imdad Ullah Khan , Pin-Yu Chen , Murray Patterson

Protein language models (pLMs) have emerged as powerful predictors of protein structure and function. However, the computational circuits underlying their predictions remain poorly understood. Recent mechanistic interpretability methods…

Machine Learning · Computer Science 2026-05-14 Darin Tsui , Kunal Talreja , Daniel Saeedi , Amirali Aghazadeh

The response of proteins to chemical reactions or impulsive excitation that occurs within the molecule has fascinated chemists for decades. In recent years ultrafast X-ray studies have provided ever more detailed information about the…

Biological Physics · Physics 2018-05-11 David M. Leitner , Takahisa Yamato

DNA sequencing is the process of determining the exact order of the nucleotide bases of an individual's genome in order to catalogue sequence variation and understand its biological implications. Whole-genome sequencing techniques produce…

Data Structures and Algorithms · Computer Science 2015-09-18 Ljiljana Brankovic , Costas S. Iliopoulos , Ritu Kundu , Manal Mohamed , Solon P. Pissis , Fatima Vayani

In this work, we present a paradigm bridging electromagnetic (EM) and molecular communication through a stimuli-responsive intra-body model. It has been established that protein molecules, which play a key role in governing cell behavior,…

Molecular Networks · Quantitative Biology 2020-09-03 Hadeel Elayan , Andrew W. Eckford , Raviraj Adve

Proteins perform much of the work in living organisms, and consequently the development of efficient computational methods for protein representation is essential for advancing large-scale biological research. Most current approaches…

Quantitative Methods · Quantitative Biology 2023-06-09 Francesco Ceccarelli , Lorenzo Giusti , Sean B. Holden , Pietro Liò

Ionic transport in nanopores is a fundamentally and technologically important problem in view of its occurrence in biological processes and its impact on novel DNA sequencing applications. Using microscopic calculations, here we show that…

Soft Condensed Matter · Physics 2009-09-26 Michael Zwolak , Johan Lagerqvist , Massimiliano Di Ventra

Protein is linked to almost every life process. Therefore, analyzing the biological structure and property of protein sequences is critical to the exploration of life, as well as disease detection and drug discovery. Traditional protein…

Machine Learning · Computer Science 2021-12-08 Yijia Xiao , Jiezhong Qiu , Ziang Li , Chang-Yu Hsieh , Jie Tang

Sequencing by Emergence (SEQE) is a new single-molecule nucleic acid (DNA/RNA) sequencing technology that estimates sequence as an emergent property of the binding and localization of a repertoire of short oligonucleotide probes. SEQE…

Genomics · Quantitative Biology 2021-08-04 Nicholas Boyd , Samuel Woodhouse , Kalim Mir

Polymerization of proteins is a biochimical process involved in different diseases. Mathematically, it is generally modeled by aggregation-fragmentation-type equations. In this paper we consider a general polymerization model and propose a…

Analysis of PDEs · Mathematics 2019-02-28 Pierre Gabriel , Léon Matar Tine

Just as physicists strive to develop a TOE (theory of everything), which explains and unifies the physical laws of the universe, the life-scientist wishes to uncover the TOE as it relates to cellular systems. This can only be achieved with…

Quantitative Methods · Quantitative Biology 2009-11-04 Kyung Dae Ko , Yoojin Hong , Gaurav Bhardwaj , Teresa M. Killick , Damian B. van Rossum , Randen L. Patterson

We propose a novel approach to detect the binding between proteins making use of the anomalous diffraction of natively present heavy elements inside the molecule 3D structure. In particular, we suggest considering sulfur atoms contained in…

Proteins constitute a large group of macromolecules with a multitude of functions for all living organisms. Proteins achieve this by adopting distinct three-dimensional structures encoded by the sequence of their constituent amino acids in…

Methodology · Statistics 2021-09-16 Mohammad Arashi , Najmeh Nakhaei Rad , Andriette Bekker , Wolf Dieter Schubert

A molecular understanding of how protein function is related to protein structure will require an ability to understand large conformational changes between multiple states. Unfortunately these states are often separated by high free energy…

Biological Physics · Physics 2011-08-08 Juan R. Perilla , Thomas B. Woolf

In diffusion based molecular communication, the intersymbol interference (ISI) is an important reason for system performance degradation, which is caused by the random movement, out-of-order arrival and indistinguishability of the…

Information Theory · Computer Science 2019-01-01 Hui Li , Qingchao Li

Protein engineering seeks to identify protein sequences with optimized properties. When guided by machine learning, protein sequence generation methods can draw on prior knowledge and experimental efforts to improve this process. In this…

Quantitative Methods · Quantitative Biology 2021-05-28 Zachary Wu , Kadina E. Johnston , Frances H. Arnold , Kevin K. Yang

Post-translational modifications (PTMs) profoundly expand the complexity and functionality of the proteome, regulating protein attributes and interactions that are crucial for biological processes. Accurately predicting PTM sites and their…

Machine Learning · Computer Science 2024-11-05 Cheng Tan , Zhenxiao Cao , Zhangyang Gao , Lirong Wu , Siyuan Li , Yufei Huang , Jun Xia , Bozhen Hu , Stan Z. Li

Ion channels are specific proteins present in the membranes of living cells. They control the flow of specific ions through a cell, initiated by an ion channel's electrochemical gradient. In doing so, they control important physiological…

Subcellular Processes · Quantitative Biology 2012-09-14 Andrew Das Arulsamy

High-throughput sequencing (HTS) is revolutionizing biological research by enabling scientists to quickly and cheaply query variation at a genomic scale. Despite the increasing ease of obtaining such data, using these data effectively still…

Genomics · Quantitative Biology 2012-11-09 Sonal Singhal
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