Education

Equipping students with computational skills is one of the most pressing educational equity issues of the 21st century.

Throughout my 20 years of teaching science, I’ve watched the world transform into a digital-first environment. From our social communities to our workplaces and classrooms, multimedia content is rapidly changing the way educators and students communicate, collaborate, and learn. As a senior lecturer in the Department of Molecular and Cellular Biology at Harvard University, I’ve

Each generation builds upon the experience and knowledge of the last—with advancements made possible only by what has come before us. We sometimes call it “standing on the shoulders of giants.” This is especially true in the fast-changing world of chemical research and discovery. Three of Schrödinger’s educational experts explain the impact of connecting with

For students graduating with STEM degrees, the job possibilities are endless. But sifting through potential career options and ultimately landing a job can be a daunting task, especially for first-generation graduates. LabCentral Ignite’s Career Forge program was designed to empower undergraduate and recently graduated students with the skills they need to find success working in

Inside Dr. Elizabeth Romano’s biology classroom, you are more likely to find high school students experimenting with high tech tools than flipping through pages in a textbook. As a biology faculty member at The Governor’s School at Innovation Park, Dr. Romano introduced Schrödinger’s professional-grade molecular modeling software to her high school students to use as

Inspiring young students to become the next generation of scientists is a lofty goal for any organization. One educational program, called Skype a Scientist, is doing just that by connecting actual scientists with classrooms around the globe via video conferencing (Skype, Zoom, or Google hangouts). The mission of this program is to make science accessible

The Schrödinger Online Learning Program has launched a new course called High-Throughput Virtual Screening for Hit Finding and Evaluation that teaches how industry-leading computational molecular modeling tools are used in High Throughput Virtual Screening (HTVS) to accelerate hit finding and evaluation. We spoke with Schrödinger’s Education Specialist, Dr. Abigail Emtage and Director of Education, Dr.

When the COVID-10 pandemic hit in early 2020, and along with it the mass postponement of scientific conferences, we decided to move those presentations online and launched the Schrödinger Summer of Science.

As we enter autumn, with schools reopening and students recharged from the summer months, the spotlight is back on the classroom. That made it ideal timing for Schrödinger’s recent Educator’s Day event, the first of an annual series to bring together K-12 and university educators to discuss computational tools in the science classroom.

In early stage drug discovery, project teams share a common goal: to find an effective and selective clinical candidate as quickly as possible. That is certainly the goal at Galapagos, a commercial-stage European biotech specialized in the discovery and development of small molecule medicines with novel modes of action.

I believe in giving high school students hands-on experience with real-life, research-grade tools. These tools can be so sophisticated that even after years of teaching computational chemistry, I’m not sure what each application does. So, I encourage my students to experiment.

The Schrödinger Online Learning Program has launched a new course called Introduction to Molecular Modeling Concepts for Polymers. This latest course teaches students how industry-leading computational molecular modeling tools are used to aid in polymer material development and design.

When thinking of scientists, images of people in lab coats with protective eyewear delicately handling solutions in odd-shaped glassware commonly spring to mind. However, scientists can also use computers to make and test molecules virtually (in silico), a technique known as  computer-aided drug design (CADD). But while it is far easier to “make” molecules on

If the protein target of a disease is known and that target has an available 3D structure, researchers will commonly design drugs against that protein using structure-based drug design (SBDD). In essence, SBDD uses the 3D shape and structure of the protein as the basis for designing new drugs. For instance, like magnets, if there

The impact of artificial intelligence (AI) is all around us, from virtual assistants and email spam filters to personal health devices and drug development. AI is an incredibly broad umbrella term simply meaning machines, particularly computers, that mimic human response. We incorporate a branch of AI, called machine learning, into our platform. Machine learning systems

Designing a safe and effective drug is an extremely difficult process because researchers are essentially trying to find one molecule that satisfies a large number of requirements or properties. For example, does it bind to the target of interest? Does it bind to other targets and create side effects? Is it effective? Will it be

Chemical space is the set of every possible chemical compound, including every known drug molecule, and those that have yet to be discovered. The total number of compounds that make up chemical space is estimated to be 1060 — that’s a one followed by SIXTY zeros. A number so large that it is double the