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Highly accurate biomolecular structure prediction is a key component of developing biomolecular foundation models, and one of the most critical aspects of building foundation models is identifying the recipes for scaling the model. In this…

Biomolecules · Quantitative Biology 2026-01-02 Yi Zhou , Chan Lu , Yiming Ma , Wei Qu , Fei Ye , Kexin Zhang , Lan Wang , Minrui Gui , Quanquan Gu

This paper presents FLASH 1.0, a C++-based software framework for rapid parallel deployment and enhancing host code portability in heterogeneous computing. FLASH takes a novel approach in describing kernels and dynamically dispatching them…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-07-06 Michael Riera , Masudul Hassan Quraishi , Erfan Bank Tavakoli , Fengbo Ren

Classical neural network approximation results take the form: for every function $f$ and every error tolerance $\epsilon > 0$, one constructs a neural network whose architecture and weights depend on $\epsilon$. This paper introduces a…

Neural and Evolutionary Computing · Computer Science 2025-11-20 Clemens Hutter , Valentin Abadie , Helmut Bölcskei

Accurate protein structure prediction can significantly accelerate the development of life science. The accuracy of AlphaFold2, a frontier end-to-end structure prediction system, is already close to that of the experimental determination…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-14 Guoxia Wang , Xiaomin Fang , Zhihua Wu , Yiqun Liu , Yang Xue , Yingfei Xiang , Dianhai Yu , Fan Wang , Yanjun Ma

RNA function is intimately related to its structural dynamics. Molecular dynamics simulations are useful for exploring biomolecular flexibility but are severely limited by the accessible timescale. Enhanced sampling methods allow this…

Biomolecules · Quantitative Biology 2018-02-06 Vojtěch Mlýnský , Giovanni Bussi

We present SuperCoder2.0, an advanced autonomous system designed to enhance software development through artificial intelligence. The system combines an AI-native development approach with intelligent agents to enable fully autonomous…

Software Engineering · Computer Science 2024-10-29 Anmol Gautam , Kishore Kumar , Adarsh Jha , Mukunda NS , Ishaan Bhola

Retrosynthesis prediction is one of the fundamental challenges in organic synthesis. The task is to predict the reactants given a core product. With the advancement of machine learning, computer-aided synthesis planning has gained…

Chemical Physics · Physics 2022-02-01 Yue Wan , Benben Liao , Chang-Yu Hsieh , Shengyu Zhang

RNA is a fundamental class of biomolecules that mediate a large variety of molecular processes within the cell. Computational algorithms can be of great help in the understanding of RNA structure-function relationship. One of the main…

Biomolecules · Quantitative Biology 2015-02-20 Sandro Bottaro , Francesco Di Palma , Giovanni Bussi

The design of multi-stable RNA molecules has important applications in biology, medicine, and biotechnology. Synthetic design approaches profit strongly from effective in-silico methods, which can tremendously impact their cost and…

Quantitative Methods · Quantitative Biology 2018-06-24 Stefan Hammer , Yann Ponty , Wei Wang , Sebastian Will

The statistical mechanics of heteropolymer structure formation is studied in the context of RNA secondary structures. A designed RNA sequence biased energetically towards a particular native structure (a hairpin) is used to study the…

Statistical Mechanics · Physics 2009-10-31 R. Bundschuh , T. Hwa

Inverse design of short single-stranded RNA and DNA sequences (aptamers) is the task of finding sequences that satisfy a set of desired criteria. Relevant criteria may be, for example, the presence of specific folding motifs, binding to…

Protein inverse folding aims to identify viable amino acid sequences that can fold into given protein structures, enabling the design of novel proteins with desired functions for applications in drug discovery, enzyme engineering, and…

Quantitative Methods · Quantitative Biology 2024-11-05 Taoyu Wu , Yu Guang Wang , Yiqing Shen

The task of RNA design given a target structure aims to find a sequence that can fold into that structure. It is a computationally hard problem where some version(s) have been proven to be NP-hard. As a result, heuristic methods such as…

Biomolecules · Quantitative Biology 2024-12-13 Wei Yu Tang , Ning Dai , Tianshuo Zhou , David H. Mathews , Liang Huang

Background: Genotype-phenotype maps provide a meaningful filtration of sequence space and RNA secondary structures are particular such phenotypes. Compatible sequences i.e.~sequences that satisfy the base pairing constraints of a given RNA…

Biomolecules · Quantitative Biology 2019-10-02 Fenix W. Huang , Christopher L. Barrett , Christian M. Reidys

Motivation: Accurate detection of sequence similarity and homologous recombination are essential parts of many evolutionary analyses. Results: We have developed SimPlot++, an open-source multiplatform application implemented in Python,…

Quantitative Methods · Quantitative Biology 2022-04-14 Stéphane Samson , Étienne Lord , Vladimir Makarenkov

Generating protein sequences conditioned on protein structures is an impactful technique for protein engineering. When synthesizing engineered proteins, they are commonly translated into DNA and expressed in an organism such as yeast. One…

Machine Learning · Computer Science 2024-09-27 Hannes Stark , Umesh Padia , Julia Balla , Cameron Diao , George Church

We describe a methodology for designing efficient parallel and distributed scientific software. This methodology utilizes sequences of mechanizable algebra--based optimizing transformations. In this study, we apply our methodology to the…

Software Engineering · Computer Science 2008-11-18 Harry B. Hunt , Lenore R. Mullin , Daniel J. Rosenkrantz , James E. Raynolds

Program synthesis with Genetic Programming searches for a correct program that satisfies the input specification, which is usually provided as input-output examples. One particular challenge is how to effectively handle loops and recursion…

Neural and Evolutionary Computing · Computer Science 2024-02-28 Matheus Campos Fernandes , Fabricio Olivetti de Franca , Emilio Francesquini

Simflowny is an open platform which automatically generates parallel code of scientific dynamical models for different simulation frameworks. Here we present major upgrades on this software to support an extended set of families of models,…

Mathematical Software · Computer Science 2018-07-04 A. Arbona , B. Miñano , A. Rigo , C. Bona , C. Palenzuela , A. Artigues , C. Bona-Casas , J. Massó

Creative coding is an experimentation-heavy activity that requires translating high-level visual ideas into code. However, most languages and libraries for creative coding may not be adequately intuitive for beginners. In this paper, we…

Programming Languages · Computer Science 2024-04-17 Mark Edward M. Gonzales , Hans Oswald A. Ibrahim , Elyssia Barrie H. Ong , Ryan Austin Fernandez