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The remarkable structural diversity of modern proteins reflects millions of years of evolution, during which sequence space has expanded while many structural features remain conserved. This conservation is evident not only among homologous…

Code bloat widely exists in production-run software. Left untackled, it not only degrades software performance but also increases its attack surface. In this work, we conduct a case study to understand this issue in statically linked…

软件工程 · 计算机科学 2018-10-29 Linhai Song , Xinyu Xing

DNA encoded libraries (DELs) are used for rapid large-scale screening of small molecules against a protein target. These combinatorial libraries are built through several cycles of chemistry and DNA ligation, producing large sets of…

As synthetic genomics scales toward the construction of increasingly larger genomes, computational strategies are needed to address technical feasibility. We introduce an algorithmic framework for the Minimum-Cost Synthetic Genome Planning…

基因组学 · 定量生物学 2025-09-09 Michail Patsakis , Ioannis Mouratidis , Ilias Georgakopoulos-Soares

DNA-encoded small molecule libraries (DELs) have enabled discovery of novel inhibitors for many distinct protein targets of therapeutic value through screening of libraries with up to billions of unique small molecules. We demonstrate a new…

Most amino acids are encoded by multiple synonymous codons. For an amino acid, some of its synonymous codons are used much more rarely than others. Analyses of positions of such rare codons in protein sequences revealed that rare codons can…

分子网络 · 定量生物学 2019-07-09 Khalique Newaz , Gabriel Wright , Jacob Piland , Jun Li , Patricia Clark , Scott Emrich , Tijana Milenkovic

Directed evolution plays an indispensable role in protein engineering that revises existing protein sequences to attain new or enhanced functions. Accurately predicting the effects of protein variants necessitates an in-depth understanding…

定量方法 · 定量生物学 2023-06-09 Yang Tan , Bingxin Zhou , Yuanhong Jiang , Yu Guang Wang , Liang Hong

Background: A partially random target selection method was developed to design and produce affinity reagents (target) to any protein query. It is based on the recent concept of Proteomic Code (for review see Biro, 2007 [1]) which suggests…

定量方法 · 定量生物学 2008-07-22 Jan C Biro

Oligo pools are array-synthesized, user-defined mixtures of single-stranded oligonucleotides that can be used as a source of synthetic DNA for library cloning. While currently offering the most affordable source of synthetic DNA, oligo…

定量方法 · 定量生物学 2024-01-23 Alicia Maciá Valero , Rianne C. Prins , Thijs de Vroet , Sonja Billerbeck

This paper presents an optimization approach for generating custom manipulator configurations using a proposed unconventional modular library. An end-to-end solution is presented in which the resulting optimal models of the modular…

机器人学 · 计算机科学 2023-05-16 Anubhav Dogra , Srikant Sekhar Padhee , Ekta Singla

Mutation analysis measures test suite adequacy, the degree to which a test suite detects seeded faults: one test suite is better than another if it detects more mutants. Mutation analysis effectiveness rests on the assumption that mutants…

软件工程 · 计算机科学 2016-11-09 Miltiadis Allamanis , Earl T. Barr , René Just , Charles Sutton

Automatic design of organic materials requires black-box optimization in a vast chemical space. In conventional molecular design algorithms, a molecule is built as a combination of predetermined fragments. Recently, deep neural network…

化学物理 · 物理学 2018-06-27 Xiufeng Yang , Jinzhe Zhang , Kazuki Yoshizoe , Kei Terayama , Koji Tsuda

Directed evolution of proteins has been the most effective method for protein engineering. However, a new paradigm is emerging, fusing the library generation and screening approaches of traditional directed evolution with computation…

生物大分子 · 定量生物学 2023-05-29 Kadina E. Johnston , Clara Fannjiang , Bruce J. Wittmann , Brian L. Hie , Kevin K. Yang , Zachary Wu

An effective potential function is critical for protein structure prediction and folding simulation. Simplified protein models such as those requiring only $C_\alpha$ or backbone atoms are attractive because they enable efficient search of…

生物大分子 · 定量生物学 2007-05-23 Jinfeng Zhang , Rong Chen , Jie Liang

Synthetic data generated by generative models can enhance the performance and capabilities of data-hungry deep learning models in medical imaging. However, there is (1) limited availability of (synthetic) datasets and (2) generative models…

The method of the lower deformation energy has been successfully used for the synthesis of mechanisms for quite a while. It has shown to be a versatile, yet powerful method for assisting in the design of mechanisms. Until now, most of the…

动力系统 · 数学 2024-02-09 V. Garcia-Marina , I. Fernandez de Bustos , G. Urkullu , M. Abasolo

While modern biotechnologies allow synthesizing new proteins and function measurements at scale, efficiently exploring a protein sequence space and engineering it remains a daunting task due to the vast sequence space of any given protein.…

生物大分子 · 定量生物学 2024-01-15 Jiahao Qiu , Hui Yuan , Jinghong Zhang , Wentao Chen , Huazheng Wang , Mengdi Wang

Recent experiments and simulations have demonstrated that proteins can fold on the ribosome. However, the extent and generality of fitness effects resulting from co-translational folding remain open questions. Here we report a genome-wide…

生物大分子 · 定量生物学 2017-10-12 William M Jacobs , Eugene I Shakhnovich

In this paper, we study error exponents for a concatataned coding based class of DNA storage codes in which the number of reads performed can be variable. That is, the decoder can sequentially perform reads and choose whether to output the…

信息论 · 计算机科学 2025-04-25 Yan Hao Ling , Nir Weinberger , Jonathan Scarlett

Stabilizing proteins is a foundational step in protein engineering. However, the evolutionary pressure of all extant proteins makes identifying the scarce number of mutations that will improve thermodynamic stability challenging. Deep…

生物大分子 · 定量生物学 2023-11-01 Jeffrey Ouyang-Zhang , Daniel J. Diaz , Adam R. Klivans , Philipp Krähenbühl