23 papers · ranked by Valyu relevance
Carla Molins-Pitarch, Jonas Krebs, David Brena
The transdisciplinary ChromDesign project explored and demonstrated the power of Design research for developing new tools for visualizing and communicating complex concepts in molecular biology to diverse audiences.
Pragya Mishra, Jaspal S. Sandhu
We provide an analysis of design in global health through a systematic framework to understand what it is, the value it can add, and how it compares to other common problem-solving approaches in global health. We make the case that design is an essential approach when tackling complex global health challenges.
Simeon D. Castle, Michiel Stock, Thomas E. Gorochowski
Careful consideration of how we approach design is crucial to all areas of biotechnology. However, choosing or developing an effective design methodology is not always easy as biology, unlike most areas of engineering, is able to adapt and evolve. Here, we put forward that design and evolution follow a similar cyclic…
Federico Cabitza, Carla Simone
As often reported in the specialist literature in the last thirty years or so, and even recently (e.g., Lyytinen and Robey, 1999; Shapiro, 2005; Pan et al, 2008; Warkentin et al, 2009) with a tinge of disgruntled resignation, approximately half to two-thirds (if not more) Information Systems (IS) projects fail. Of…
Mouhamed Abdulla, Yousef R. Shayan
–It is a fact of our existence, that no matter where we are, we most often find ourselves either hearing, seeing, talking, or even engaged in design related activities. Despite this reality, the notion of "design", and in particular "engineering design", is often ambiguous, and at times obscure. Thus, the transfer of…
Danqing Huang, Jiaqi Guo, Shizhao Sun, Hanling Tian + 5 more
'Zheng Hu' 'Chin-Yew Lin' 'Jian–Guang Lou' 'Dongmei Zhang'] Graphic design is an effective language for visual communication. Using complex composition of visual elements (e.g., shape, color, font) guided by design principles and aesthetics, design helps produce more visually-appealing content. The creation of a…
Ray Maher, Melanie Maher, Samuel Mann, Clive A. McAlpine
Design disciplines have a long history of creating well-integrated solutions to challenges which are complex, uncertain and contested by multiple stakeholders. Society faces similar challenges in implementing the Sustainable Development Goals, so design methods hold much potential. While principles of good design are…
Zeda Xu, Nikolas Martelaro, Christopher McComb
With generative AI-powered design tools, designers and engineers can efficiently generate large numbers of design ideas. However, efficient exploration of these ideas requires designers to select a smaller group of potential solutions for further development. Therefore, the ability to judge and evaluate designs is…
Thomas A. Hopf, Artem Gazizov, Sergio Garcia Busto, Ethan Eschbach + 9 more
Machine learning methods for protein engineering are rarely interoperable, require bespoke workflows, and remain inaccessible to non-experts. Yet the design problems that matter most – conditional design subject to real-world constraints, multi-objective optimization, and iterative lab-in-the-loop workflows where…
Thomas Scott, Christian Alan Paul Smethurst, Yvonne Westermaier, Moriz Mayer + 22 more
Given the role of human intuition in current drug design efforts, crowd-sourced 'citizen scientist' games have the potential to greatly expand the pool of potential drug designers. Here, we introduce ‘Drugit', the small molecule design mode of the online ‘citizen science’ game Foldit. We demonstrate its utility for…
Marta Chronowska, Michael J. Stam, Derek N. Woolfson, Luigi F. Di Constanzo + 1 more
The field of protein design has changed dramatically over the last 40 years, with a range of methods developing from rational design to more recent data-driven approaches. While considerable insight could be gained from analysing designed proteins, there is no single resource that brings together all the relevant data…
Mary Shaw, Marian Petre
Discussions of software design often refer to using "design spaces" to describe the spectrum of available design alternatives. This supports design thinking in many ways: to capture domain knowledge, to support a wide variety of design activity, to analyze or predict properties of alternatives, to understand…
Anna Matuszyńska, Oliver Ebenhöh, Matias D. Zurbriggen, Daniel C. Ducat + 1 more
Synthetic biology designs and constructs new biological parts, devices and systems with predetermined functionalities. With the unlimited ability to synthesise any DNA and RNA and transfer it to almost any organism, we are at the dawn of a new era in which biology is being recreated in ways never before possible. It…
Terry T.-K. Huang, Emily A. Callahan, Emily R. Haines, Cole Hooley + 4 more
Many public health challenges are characterized by complexity that reflects the dynamic systems in which they occur. Such systems involve multiple interdependent factors, actors, and sectors that influence health, and are a primary driver of challenges of insufficient implementation, sustainment, and scale of…
Ashton Davis, Chong Liu, Paula Diaconescu
Confining organometallic catalysts in nanoscopic compartments has been gaining traction as a method to introduce additional levels of control in catalytic transformations. Running reactions inside of compartments is ubiquitous in biology, and recent attention has turned toward applying the same principles to…
Lucas P. Merlicek, Jannik Neumann, Abbie Lear, Vivian Degiorgi + 4 more
The ability to create new-to-nature enzymes would substantially advance bioengineering, medicine, and the chemical industry. Despite recent breakthroughs in protein design and structure prediction, designing biocatalysts with activities rivaling those of natural enzymes remains challenging. Here, we present AI.zymes, a…
Elise A. Naudin, Katherine I. Albanese, Abigail J. Smith, Bram Mylemans + 6 more
The design of completely synthetic proteins from first principles—de novo protein design—is challenging. This is because, despite recent advances in computational protein-structure prediction and design, we do not understand fully the sequence-to-structure relationships for protein folding, assembly, and stabilization.…
Miguel Á. Valderrama-Gómez, Jason G. Lomnitz, Rick A. Fasani, Michael A. Savageau
Mechanistic models of biochemical systems provide a rigorous kinetics-based description of various biological phenomena. They are indispensable to elucidate biological design principles and to devise and engineer systems with novel functionalities. To date, mathematical analysis and characterization of these models…
Aniket Chitre, David Woods, Alexei Lapkin
Liquid formulations design typically involves searching a high-dimensional space, owing to the combinatorial selection of ingredients from a larger subset of available ingredients, with a relatively limited experimental budget. Therefore, we need to efficiently select the most informative experiments. These experiments…
Joana Rovira Martins, Pedro Martins, Ana Boavida
Artificial Intelligence (AI) has been increasingly applied to creative domains, leading to the development of systems that collaborate with humans in design processes. In Graphic Design, integrating computational systems into co-creative workflows presents specific challenges, as it requires balancing scientific rigour…
Peng Zhen-hui, Qiaoyi Chen, Zhiyu Shen, Xiaojuan Ma + 1 more
'Antti Oulasvirta'] Online design communities, where members exchange free-form views on others' designs, offer a space for beginners to learn visual design. However, the content of these communities is often unorganized for learners, containing many redundancies and irrelevant comments. In this paper, we propose a…
Charlotte Merzbacher, Oisin Mac Aodha, Diego A. Oyarzún
Recent advances in synthetic biology have enabled the construction of molecular circuits that operate across multiple scales of cellular organization, such as gene regulation, signalling pathways and cellular metabolism. Computational optimization can effectively aid the design process, but current methods are…
Authors not listed
In recent years, generative deep learning has emerged as a transformative approach in drug design, promising to explore the vast chemical space and generate novel molecules with desired biological properties. This perspective examines the challenges and opportunities of applying generative models to drug discovery…