26 papers · ranked by Valyu relevance
HANIYEH ABDOLLAHZADEH, Tonya Peeples, Mohammad Shahcheraghi
DNA-based nanomaterials have shown great potential in numerous applications, thanks to their unique properties including DNA's various molecular interactions, programmability, and versatility with biological modules. Meanwhile, the DNA origami platforms have shown promise in the creation of drug carriers. This…
Sotaro Takiguchi, Nanami Takeuchi, Vasily Shenshin, Guillaume Gines + 4 more
DNA computing represents a subfield of molecular computing with the potential to become a significant area of next-generation computation due to the high programmability inherent in the sequence-dependent molecular behaviour of DNA. Recent studies in DNA computing have extended from mathematical informatics to…
Mehmet Karakose, Ugur Cigdem
DNA (deoxyribonucleic acid) computing that is a new computation model based on DNA molecules for information storage has been increasingly used for optimization and data analysis in recent years. However, DNA computing algorithm has some limitations in terms of convergence speed, adaptability, and effectiveness. In…
Muhammad Asad Tariq, Rafay Junaid, Muhammad Mehdy Hasnain, Danyal Farhat
'Danyal Farhat'] Abstract—DNA computing is an unconventional approach to computing that harnesses the parallelism and information storage capabilities of DNA molecules. It has emerged as a promising field with potential applications in solving a variety of computationally complex problems. This paper explores a DNA…
Ramin Maazallahi, Aliakbar Niknafs
Although it has been evidenced that DNA computing is able to solve the g raph coloring problem in a polynomial time complexity, but the exponential solution space is still a restrictive factor in applying this technique for solving really large problems. In this paper a modified DNA computing approach based on Adleman…
Wei Liu, Huaichuan Duan, Derong Zhang, Xun Zhang + 9 more
'Tao Xie' 'Hailian Yan' 'Lianxin Peng' 'Yichen Hu' 'Li Liang' 'Gang Zhao' 'Zhenjian Xie' 'Jianping Hu'] With the arrival of the post-Moore Era, the development of traditional silicon-based computers has reached the limit, and it is urgent to develop new computing technology to meet the needs of science and life. DNA…
Chuan Zhang, Lulu Ge, Yuchen Zhuang, Ziyuan Shen + 3 more
'Zaichen Zhang' 'Xiaohu You'] Abstract With the progressive scale-down of semiconductor's feature size, people are looking forward to More Moore and More than Moore. In order to offer a possible alternative implementation process, people are trying to figure out a feasible transfer from silicon to molecular computing.…
Hassan Taghipour, Mahdi Rezaei, Heydar Ali Esmaili
Solving some mathematical problems such as NP-complete problems by conventional silicon-based computers is problematic and takes so long time. DNA computing is an alternative method of computing which uses DNA molecules for computing purposes. DNA computers have massive degrees of parallel processing capability. The…
Boya Wang, Siyuan S. Wang, Cameron Chalk, Andrew D. Ellington + 1 more
DNA is an incredibly dense storage medium for digital data, but computing on the stored information is expensive and slow (rounds of sequencing, in silico computation, and DNA synthesis). Augmenting DNA storage with “in-memory” molecular computation, we use strand displacement reactions to algorithmically modify data…
Masahiro Takinoue
Living systems are molecular assemblies whose dynamics are maintained by non-equilibrium chemical reactions. To date, artificial cells have been studied from such physical and chemical viewpoints. This review briefly gives a perspective on using DNA droplets in constructing artificial cells. A DNA droplet is a…
Arnav Solanki, Zak Griffin, Purab Ranjan Sutradhar, Karisha Pradhan + 3 more
'Caiden Merritt' 'Amlan Ganguly' 'Marc D. Riedel'] DNA has been discussed as a potential medium for data storage. Potentially it could be denser, could consume less energy, and could be more durable than conventional storage media such as hard drives, solid-state storage, and optical media. However, computing on data…
Arnav Solanki, Zak Griffin, Purab Ranjan Sutradhar, Karisha Pradhan + 4 more
'Caiden Merritt' 'Amlan Ganguly' 'Marc Riedel' 'Suhaib Ahmed'] DNA has been discussed as a potential medium for data storage. Potentially it could be denser, could consume less energy, and could be more durable than conventional storage media such as hard drives, solid-state storage, and optical media. However…
Jian-Jun Shu, Zi Hian Tan, Qiwen Wang, Kian-Yan Yong
Programmable biomolecule-mediated computing is a new computing paradigm as compared to contemporary electronic computing. It employs nucleic acids and analogous biomolecular structures as information-storing and -processing substrates to tackle computational problems. It is of great significance to investigate the…
Victor Hernandez-Urbina
In Boolean algebra, it is known that the logical function that corresponds to the negation of the conjunction –NAND– is universal in the sense that any other logical function can be built based on it. This property makes it essential to modern digital electronics and computer processor design. Here, we design a…
Alexandre Maes, Jeanne Le Peillet, Achille Julienne, Clémence Blachon + 6 more
DNA data storage is an emerging technology that has the potential to replace bulky, fragile and energy-intensive current digital data storage media. Here, we report a storage strategy called DNA Drive, that organizes data on long double stranded replicative DNA molecules. The DNA Drive has unlimited storage capacity…
Likun Jiang, Ziyun Zou, Xinru Ruan, Xinyi Zhang + 3 more
DNA molecules, as natural information carriers, have several benefits over conventional digital storage mediums, including high information density and long-term durability. It is expected to be a promising candidate for information storage. However, despite significant research in this field, the pace of development…
Kevin N. Lin, Albert J. Keung, James M. Tuck
Technological leaps are often driven by key innovations that transform the underlying architectures of systems. Current DNA storage systems largely rely on polymerase chain reaction, which broadly informs how information is encoded, databases are organized, and files are accessed. Here we show that a hybrid ‘toehold’…
Nathaniel Roquet, Swapnil P Bhatia, Sarah A Flickinger, Sean Mihm + 3 more
Persistent data storage is the basis of all modern information systems. The long-term value and volume of data are growing at an accelerating rate and pushing extant storage systems to their limits. DNA offers exciting potential as a storage medium, but no practical scheme has been proposed to date that can scale…
Kaikai Chen, Jinbo Zhu, Filip Boskovic, Ulrich F. Keyser
DNA is emerging as a novel material for digital data storage. The two main challenges are efficient encoding and data security. Here, we develop an approach that allows for writing and erasing data by relying solely on Watson-Crick base pairing of short oligonucleotides to single-stranded DNA overhangs located along a…
Azat Akhmetov, Andrew D. Ellington, Edward M. Marcotte
Encoding arbitrary digital information in DNA has attracted attention as a potential avenue for large scale and long term data storage. However, in order to enable DNA data storage technologies there needs to be improvements in data storage fidelity (tolerance to mutation), the facility of writing and reading the data…
Likun Wang, Hao Pei, Tong Zhu
DNA reactions are crucial in biology, synthetic biology, and DNA computing. Accurate prediction of thermodynamic and kinetic parameters is vital for understanding molecular interactions and designing functional DNA-based systems. Existing models have limitations due to simplifications and approximations that may…
Alex Lee, Joshua Rackers, Shivesh Pathak, William Bricker
Accurately modeling large biomolecules such as DNA from first principles is fundamentally challenging due to the steep computational scaling of ab initio quantum chemistry methods. This limitation becomes even more prominent when modeling biomolecules in solution due to the need to include large numbers of solvent…
Alex Lee, Joshua Rackers, William Bricker
One of the fundamental limitations of accurately modeling biomolecules like DNA is the inability to perform quantum chemistry calculations on large molecular structures. We present a machine learning model based on an equivariant Euclidean Neural Network framework to obtain quantum-accurate electron densities for…
Nicholas Tjahjono, Evgeni Penev, Boris Yakobson
Programmable self-assembly provides a promising avenue to improve upon traditional synthesis and create multi-component materials with emergent properties and arbitrary nanoscale complexity. However, its most successful realizations utilizing DNA often use complicated arduous procedures that result in low yields. Here…
Nagi Yamashita, Yusuke Sato, Yuki Suzuki, Daisuke Ishikawa + 1 more
DNA condensates, formed by liquid-liquid phase separation (LLPS), emerge as promising soft matter assemblies for creating artificial cells. The advantages of DNA condensates are their molecular permeability through the surface due to their membrane-less structure and their fluidic property. However, they face…
Authors not listed
Imagine a computer capable of solving currently unsolvable problems. Quantum computing leverages the principles of quantum mechanics to tackle complex challenges that would take classical computers centuries to complete. In this Commentary, we explore the current state of quantum computing development and how it will…