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Why choose MIT? Our own graduate students have asked this very same question, and have shared their insights through insightful blog posts . Diverse students explore topics from choosing an advisor to balancing mental health and wellness.
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We tackle problems — the harder, the better — and we generate solutions.
Graduate study is not for the faint-hearted, but the rewards match the risks. When it is your job to generate knowledge, you need to go where no one has gone before. And, we’ll give you what you need to get there.
From the day they step on campus, our grad students are not afraid to go after the hardest problems. Even the ones that might take a miracle (or two) to realize, like practical fusion and imaging black holes .
In the end, it is our students who show us where the most important problems are — and how to solve them.
But you don’t need to take our word for it. Our grad students revel in telling their stories — the amazing days, the challenging days, and of course, where to score free food.
Shape the next century of flight.
Crack the code of biology.
Put molecules into action.
Create smarter, better, faster infrastructures.
Design, invent, or hack digital technologies.
Go from the lab bench to the patient bedside.
Redefine the material world.
Be at the heart of the maker movement.
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At MIT, we revel in a culture of learning by doing. In 30 departments across five schools and one college , our students combine analytical rigor with curiosity, playful imagination, and an appetite for solving the hardest problems in service to society .
Our undergraduates work shoulder to shoulder with faculty , tackle global challenges , pursue fundamental questions, and translate ideas into action. The lifeblood of the Institute’s teaching and research enterprise, our graduate students and postdocs represent one of the most talented and diverse cohorts in the world. From science and engineering to the arts, architecture, humanities, social sciences, and management, and interdisciplinary programs , we offer excellence across the board. We also pioneer digital education — like MITx — which offers flexible access to MIT-rigorous content for learners of all ages.
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Across MIT, faculty help set the global standard of excellence in their disciplines: They are pioneering scholars who love to teach. Deeply engaged in practice, they topple conventional walls between fields in the push for deeper understanding and fresh ideas. In fact, many faculty actively work in at least one of MIT’s interdisciplinary labs, centers, initiatives, and institutes that target crucial challenges, from clean energy to cancer .
The MIT Schwarzman College of Computing, opened in fall 2019, is a cross-cutting entity with education and research links across all five schools.
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Our campus is a workshop for inventing the future and we are all apprentices, learning from each other as we go. Because we like to make things, and we like to make an impact, iconic courses like 2.009 emphasize designing, inventing, collaborating, and translating students’ expertise to reach the world. Through signature experiential learning programs like UROP , UPOP , MISTI , PKG , IAP , D-Lab , and Sandbox , students can pursue virtually infinite co-curricular and extracurricular projects — here at MIT, throughout the Greater Boston innovation hub, and around the world. Honeycombed with legendary laboratories and dozens of makerspaces , a wind tunnel, a research nuclear reactor, and a glass lab , our campus of idiosyncratically numbered buildings adds up to a prime spot to make the most of your potential.
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Below is a list of the MIT Schwarzman College of Computing’s graduate degree programs. The Doctor of Philosophy (PhD) degree is awarded interchangeably with the Doctor of Science (ScD).
Prospective students apply to the department or program under which they want to register. Application instructions can be found on each program’s website as well as on the MIT Graduate Admissions website.
Center for Computational Science and Engineering
The Center for Computational Science and Engineering (CCSE) brings together faculty, students, and other researchers across MIT involved in computational science research and education. The center focuses on advancing computational approaches to science and engineering problems, and offers SM and PhD programs in computational science and engineering (CSE).
- Computational Science and Engineering, SM and PhD . Interdisciplinary master’s program emphasizing advanced computational methods and applications. The CSE SM program prepares students with a common core of computational methods that serve all science and engineering disciplines, and an elective component that focuses on particular applications. Doctoral program enables students to specialize in methodological aspects of computational science via focused coursework and a thesis which involves the development and analysis of broadly applicable computational approaches that advance the state of the art.
- Computational Science and Engineering, Interdisciplinary PhD. Doctoral program offered jointly with eight participating departments, focusing on the development of new computational methods relevant to science and engineering disciplines. Students specialize in a computation-related field of their choice through coursework and a doctoral thesis. The specialization in computational science and engineering is highlighted by specially crafted thesis fields.
Department of Electrical Engineering and Computer Science
The largest academic department at MIT, the Department of Electrical Engineering and Computer Science (EECS) prepares hundreds of students for leadership roles in academia, industry, government and research. Its world-class faculty have built their careers on pioneering contributions to the field of electrical engineering and computer science — a field which has transformed the world and invented the future within a single lifetime. MIT EECS consistently tops the U.S. News & World Report and other college rankings and is widely recognized for its rigorous and innovative curriculum. A joint venture between the Schwarzman College of Computing and the School of Engineering, EECS (also known as Course 6) is now composed of three overlapping sub-units in electrical engineering (EE), computer science (CS), and artificial intelligence and decision-making (AI+D).
- Computation and Cognition, MEng*. Course 6-9P builds on the Bachelor of Science in Computation and Cognition to provide additional depth in the subject areas through advanced coursework and a substantial thesis.
- Computer Science, PhD
- Computer Science and Engineering, PhD
- Computer Science, Economics, and Data Science, MEng*. New in Fall 2022, Course 6-14P builds on the Bachelor of Science in Computer Science, Economics, and Data Science to provide additional depth in economics and EECS through advanced coursework and a substantial thesis.
- Computer Science and Molecular Biology, MEng*. Course 6-7P builds on the Bachelor of Science in Computer Science and Molecular Biology to provide additional depth in computational biology through coursework and a substantial thesis.
- Electrical Engineering, PhD
- Electrical Engineering and Computer Science, MEng* , SM* , and PhD . Master of Engineering program (Course 6-P) provides the depth of knowledge and the skills needed for advanced graduate study and for professional work, as well as the breadth and perspective essential for engineering leadership. Master of Science program emphasizes one or more of the theoretical or experimental aspects of electrical engineering or computer science as students progress toward their PhD.
- Electrical Engineer / Engineer in Computer Science.** For PhD students who seek more extensive training and research experiences than are possible within the master’s program.
- Thesis Program with Industry, MEng.* Combines the Master of Engineering academic program with periods of industrial practice at affiliated companies.
* Available only to qualified EECS undergraduates. ** Available only to students in the EECS PhD program who have not already earned a Master’s and to Leaders for Global Operations students.
Institute for Data, Systems, and Society
The Institute for Data, Systems, and Society advances education and research in analytical methods in statistics and data science, and applies these tools along with domain expertise and social science methods to address complex societal challenges in a diverse set of areas such as finance, energy systems, urbanization, social networks, and health.
- Social and Engineering Systems, PhD. Interdisciplinary PhD program focused on addressing societal challenges by combining the analytical tools of statistics and data science with engineering and social science methods.
- Technology and Policy, SM . Master’s program addresses societal challenges through research and education at the intersection of technology and policy.
- Interdisciplinary Doctoral Program in Statistics . For students currently enrolled in a participating MIT doctoral program who wish to develop their understanding of 21st-century statistics and apply these concepts within their chosen field of study. Participating departments and programs: Aeronautics and Astronautics, Brain and Cognitive Sciences, Economics, Mathematics, Mechanical Engineering, Physics, Political Science, and Social and Engineering Systems.
Operations Research Center
The Operations Research Center (ORC) offers multidisciplinary graduate programs in operations research and analytics. ORC’s community of scholars and researchers work collaboratively to connect data to decisions in order to solve problems effectively — and impact the world positively.
In conjunction with the MIT Sloan School of Management, ORC offers the following degrees:
- Operations Research, SM and PhD . Master’s program teaches important OR techniques — with an emphasis on practical, real-world applications — through a combination of challenging coursework and hands-on research. Doctoral program provides a thorough understanding of the theory of operations research while teaching students to how to develop and apply operations research methods in practice.
- Business Analytics, MBAn. Specialized advanced master’s degree designed to prepare students for careers in data science and business analytics.
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Mit graduate admissions is a decentralized network of departments that extends across all five academic schools and includes 46 departmental programs..
Each of these programs has an online application with a specific set of requirements and deadlines.
Answers to most common questions can be found online in the Frequently Asked Questions section. Specific questions related to department requirements, the review process, or test score requirements should be sent to the program to which you are applying.
Please send any general questions not addressed on our website to [email protected] .
Beginning the application process
To begin, select one of the 46 departmental programs , and click the link to “Apply Here.” Applicants must follow the application instructions provided by the department to which they are applying and send transcripts to the correct location, if required.
The MIT application process is dominated by two application platforms. The MIT Sloan School of Management and the Mechanical Engineering department each have their own unified online portal that services their master- and doctoral-level management programs. This online portal is known as “Slate.” Other programs at MIT—including all departments in the sciences, engineering, humanities, architecture, and urban studies and planning—utilize an online application system referred to as “GradApply.”
Requesting TOEFL/IELTS waiver
TOEFL and IELTS requirements vary by department. Each department will list English language requirements and waiver opportunities on their admissions website or directly in the online application. Waiver requests should not be sent to the admissions email address.
No two departments at MIT are exactly alike; as such, there is no single application deadline or review period that fits all departments. However, there are general timeframes that most departments follow, with the exception of fields related to business and management.
- September – Online applications become available
- December/January – Deadlines to submit application approach
- January/February/March – Departments review applications, conduct interviews as needed, and make application decisions
- April 15 – Reply deadline utilized by all departments that offer financial support in coordination with the Council of Graduate Schools (CGS)
For more information about the April 15 deadline to reply to an admissions offer, please review the April 15 Resolution .
If you are interested in visiting MIT, the Institute Events office has created useful information to help you plan your visit. Please note, there is no general graduate admissions tour or sessions. Graduate applicants interested in arranging a visit should contact the department or program of interest directly to see if arrangements can be made.
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Download the April 15 Resolution [last updated in 2022]
Try top MIT graduate courses for free or low cost
Mit graduate engineering, business, science programs ranked highly by u.s. news for 2023–24.
U.S. News and Word Report has again placed MIT’s graduate program in engineering at the top of its annual rankings. The Institute has held the №1 spot since 1990, when the magazine first ranked such programs.
MIT’s chemistry program earned a №1 ranking, shared with Caltech and the University of California at Berkeley. Its computer science program also earned a №1 ranking, shared with Stanford University and UC Berkeley. MIT’s mathematics program shared the top spot with Princeton University, and its physics program placed first along with Stanford. MIT ranked second among Earth science programs.
The MIT Sloan School of Management also placed highly. It occupies the №4 spot for the best graduate business programs. In the rankings of individual MBA specialties, MIT placed first in three areas: business analytics, production/operations, and project management. It placed second in information systems and supply chain/logistics.
MIT Open Learning offers free and lost-cost online courses from the faculty who teach graduate-level engineering, business, chemistry, computer science, mathematics, physics, and Earth science. Start learning today.
Try engineering courses
- 45 graduate courses on MIT OpenCourseWare
- 4 MITx courses
- 25 graduate courses on MIT OpenCourseWare
- 11 MITx courses
- 9 graduate courses on MIT OpenCourseWare
- 76 graduate courses on MIT OpenCourseWare
- Circuits and Electronics XSeries Program from MITx on edX (3 courses)
- Discrete-Time Signal Processing from MITx on edX
- 35 graduate courses on MIT OpenCourseWare
- 14 MITx courses
- 77 graduate courses on MIT OpenCourseWare
- 20 graduate level courses on MIT OpenCourseWare
- 2 MITx courses
Courses from other top programs
- 87 courses on MIT OpenCourseWare
- 14 courses on MIT OpenCourseWare
- 3 MITx courses
- 149 courses on MIT OpenCourseWare
- 83 courses on MIT OpenCourseWare
- 7 MITx courses
- 42 courses on MIT OpenCourseWare
- 10 MITx courses
About the rankings.
U.S. News does not issue annual rankings for all doctoral programs but revisits many every few years. This year, the magazine ranked the nation’s top PhD programs in several science fields.
The magazine bases its rankings of graduate schools of engineering and business on two types of data: reputational surveys of deans and other academic officials, and statistical indicators that measure the quality of a school’s faculty, research, and students. The magazine’s less-frequent rankings of programs in the sciences, social sciences, and humanities are based solely on reputational surveys.
Adapted from the article originally published at https://news.mit.edu on April 25, 2023.
Try top MIT graduate courses for free or low cost was originally published in MIT Open Learning on Medium, where people are continuing the conversation by highlighting and responding to this story.
Open Learning newsletter
The MIT education: Majors & minors
At MIT, majors are conventionally called courses, and they’re numbered rather than named; meanwhile, our credits are called units and they’re counted differently than at most other universities. The terminology can be confusing, but the important thing to know is that we have many things you can learn through programs that are at the leading edge of their field.
Your first year
When you apply to MIT, you apply to the entire university, not to a specific major or school, so all first-year students begin MIT undeclared. During your first year, MIT will provide academic fairs, lectures, seminars, and other programs to help you determine which major will suit you best; you are then free to choose from among any of MIT’s courses of study, without any additional requirements or admission procedures.
MIT is organized into several schools of study:
- School of Architecture and Planning
- School of Engineering
- School of Humanities, Arts, and Social Sciences
- MIT Sloan School of Management
- School of Science
We also have the Schwarzman College of Computing that coordinates computing education, research, and infrastructure across the schools.
Each of these schools offers degrees in their courses of study, as well as minors and/or concentrations, and teach thousands of classes open to any student no matter their course of study or departmental affiliation. Students may complete a traditional degree, an interdisciplinary degree , a joint degree , or a double major . However, at MIT, the focus is less on credentialing and more on the substance of what you need to learn to effectively solve problems that matter to you.
You can skim the degree chart below to get a quick visual sense of what you can study at MIT, read the catalog for the gory details, or check out these handy major information sheets that outline your choices.
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MITx: Introduction to Computer Science and Programming Using Python
An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5.
Introduction to Computer Science and Programming Using Python
About this course.
This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. Some of the people taking the two courses will use them as a stepping stone to more advanced computer science courses, but for many it will be their first and last computer science courses. This run features lecture videos, lecture exercises, and problem sets using Python 3.5. Even if you previously took the course with Python 2.7, you will be able to easily transition to Python 3.5 in future courses, or enroll now to refresh your learning.
Since these courses may be the only formal computer science courses many of the students take, we have chosen to focus on breadth rather than depth. The goal is to provide students with a brief introduction to many topics so they will have an idea of what is possible when they need to think about how to use computation to accomplish some goal later in their career. That said, they are not "computation appreciation" courses. They are challenging and rigorous courses in which the students spend a lot of time and effort learning to bend the computer to their will
At a glance
- Institution: MITx
- Subject: Computer Science
- Level: Introductory
High school algebra and a reasonable aptitude for mathematics. Students without prior programming background will find there is a steep learning curve and may have to put in more than the estimated time effort.
- Language: English
- Video Transcript: English
- XSeries in Computational Thinking using Python
- Associated skills: Python (Programming Language), Computational Thinking, Sales, Data Science, Computer Science
What you'll learn
- A Notion of computation
- The Python programming language
- Some simple algorithms
- Testing and debugging
- An informal introduction to algorithmic complexity
- Data structures
Frequently Asked Questions
About Charter Oak State College Credit-Eligible Courses: We're partnering with Charter Oak State College, Connecticut's public online college, to provide students with a unique opportunity to be awarded transferrable credit for work completed in selected edX courses. This partnership will give students from all backgrounds an affordable and flexible way to earn college credit, track their accomplishments and work toward a degree. Students who enroll in the Verified Certificate track and pass the course with an 65% or higher are eligible to receive Charter Oak State College credit. **
Number of credit hours for this course: 3 credit hours _ Cost: $300 USD ($100 USD/Credit Hour) - pay for credit earned after passing the course with a 65%or better. Eligibility:**_
- Learner must enroll in the Verified Certificate option to be eligible for credit upon completion of the course.
- Learner must abide to all course and academic integrity policies throughout the entire course.
- Learner must receive a passing grade of a 65%or better in the course
- You need to have a computer running one of the following operating systems:
- Microsoft Windows, version XP or greater (XP, Windows Vista, or Windows 7)
- Apple OSX, version 10.2 or greater
- Linux - most distributions that have been released within the past two years should work
- In addition, you will need the ability to download, install, and run software on your computer.
- This textbook is optional but highly recommended: Introduction to Computation and Programming Using Python, Third Edition (With Application to Computational Modeling and Understanding Data).
- We strongly recommend that you use the Chrome browser while visiting the edX site. This site is optimized for viewing in Chrome.
- If you cannot use Chrome, you should use the Firefox browser. Be advised you may have trouble with site functionality if you choose to use an alternate browser.
- 6.00x will be using the Python programming language, version 3.5.
- You are not expected to have any prior programming knowledge - this course is intended for students who have little to no experience with any programming language.
- The class will consist of lecture videos, which are broken into small chunks, usually between eight and twelve minutes each. Some of these may contain integrated "check-yourself" questions.
- There will also be programming assignments and standalone exams/quizzes, which are not part of the video lectures.
- Yes, transcripts of the course will be made available.
- No. You can watch the lectures at your leisure - you do not need to watch the lectures at any set time.
- Nothing: the course is free.
Who can take this course?
This course is part of computational thinking using python xseries program, ways to take this course, interested in this course for your business or team.
Supporting Graduate Students at MIT
“MIT’s graduate students are dedicated, focused, and creative, and they have extraordinary potential. Fellowships empower MIT with the ability to recruit the most talented graduate students from around the world and give them the financial freedom to think big.”
Melissa Nobles Chancellor and Class of 1922 Professor of Political Science
The 7,000-plus members of MIT’s graduate student body—representing 60% of the total student population—drive research discovery and exploration forward in all disciplines; contribute to undergraduate teaching and mentoring; help us recruit and retain top faculty who wish to work with them; and deeply enhance campus life and community.
Increasing support for graduate fellowships across all disciplines is one of the highest priorities for MIT’s five schools and the Schwarzman College of Computing and the Institute as a whole.
MIT’s graduate student body represents 60% of the total student population.
There are many ways to support graduate students—today and in the future.
- Presidential Fellowships: The Presidential Fellowships program allows MIT to recruit the most outstanding students worldwide to pursue graduate studies at the Institute. These nine-month fellowships fund tuition and other expenses during awardees’ first academic year. Since its founding in 1999, the prestigious program has grown to support over 120 new graduate students annually.
- Named Fellowships: Named graduate fellowships, which are managed and awarded within MIT’s schools and college, departments, and units, or by the Office of the Provost or Office of Graduate Education (OGE), provide students with both financial support and recognition and help MIT recruit students who are deciding among programs. They are powerful contributors to MIT’s education and research enterprise and help the Institute build a community of students who bring to campus a vivid tapestry of experiences and backgrounds.
- Graduate Student Financial Support Funds: These funds are allocated annually by MIT’s schools and college, departments, and units, or the Office of the Provost and OGE, to support overall graduate student financial aid and supplement fellowship awards, when needed.
- MIT Summer Research Program (MSRP): The MSRP advances the intellectual and professional growth of undergraduate students from underrepresented and underserved backgrounds. Talented sophomores, juniors, and non-graduating seniors spend nine weeks on MIT’s campus conducting research under the guidance of faculty members, postdoctoral fellows, and advanced graduate students.
An Exemplary Community of Graduate Students one-pager
Providing our students with robust financial support is increasingly important if MIT is to stay competitive relative to our peers. View one-pager →
Establishing an Endowed Fellowship at MIT one-pager
An overview of endowed fellowships at MIT. View one-pager →
Endowed Fellowships and Graduate Student Support Opportunities at MIT one-pager
Information on opportunities from $100,000 to $2.5M+ to support MIT graduate students through an endowed fellowship gift. View one-pager →
MIT Summer Research Program one-pager
Over the last 35 years, the program has provided hands-on research experiences to more than 900 students. View one-pager →
Support Graduate Students
Support for graduate students gives MIT the capacity to retain its competitive edge in attracting the most talented, inventive, and diverse graduate students from around the world, offering remarkable young minds the confidence and freedom to chase big ideas.
To learn more about giving in support of graduate students, contact Elizabeth Crabtree at [email protected] or 617.715.5798.
Meet the fall MIT Scholars
27 Oct 2023
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Starting in fall 2022, the Master of Information Technology (MIT) program at Virginia Tech began awarding scholarships to students whose enrollment contributes to the diversity of the MIT program and the field of information technology.
The MIT Scholars scholarship is designed to aid student populations and enrich the program with a broader variety of perspectives and unique backgrounds.
The scholarship awards each recipient an average of $2,000 per spring or fall term as long as they continue to meet the program's enrollment requirements.
A top program for veterans
MIT Scholar Cristal Arnaldi-Trinidad is currently stationed in San Antonio, Texas, as a cyber officer in the U.S. Air Force. She learned about the MIT program from her coworkers and was immediately impressed by its ranking as the No. 1 MIT program for veterans by U.S. News & World Report.
Ariel Sanchez, another MIT Scholar with military ties, serves as a client systems technician in the Air Force Reserves. He decided to pursue a master's degree in information technology from Virginia Tech to continue building his strong foundation in information technology and the dynamic field of cybersecurity.
In addition to its top ranking for veterans, MIT is also ranked the No. 3 Best Online MIT Program in the nation by U.S. News & World Report.
An interdisciplinary approach
MIT Scholar Brian Anthony Beasley graduated from Capella University in 2023 with a bachelor's degree in information technology and decided to go to graduate school right away. He is a professional software developer based in the New York City area and plans to change the world through technology. Virginia Tech will help him do just that.
After earning an undergraduate degree in international relations from Virginia Tech in 2021, MIT Scholar Lula Phicadu decided to join the MIT program. She aspires to grow in a career that combines her passions for international relations, business, and technology.
The MIT curriculum takes an interdisciplinary approach to information technology, with courses stemming from both Virginia Tech’s Pamplin College of Business and College of Engineering and spanning a variety of topics — business data analytics, artificial intelligence and machine learning, cybersecurity, and more.
A strategic career step
The MIT program helps students develop specialized skills and tailor their experience to support their individual career goals.
Fareeha Haidari, a civil engineer and 2023 MIT Scholar, is pursuing a master's degree to further her goal of crafting innovative technology applications tailored for the construction sector. She came to the United States from Afghanistan in late 2014 and earned a degree in civil engineering from George Mason University in 2020.
Jane Cayetano recently completed the Evening MBA program at Virginia Tech and is now pursuing a master's degree degree as part of the MBA/MIT dual degree option to further hone her skills and advance her finance career.
A flexible option
MIT scholar Parisa Dini is an Iranian refugee who studied software engineering in Tehran, started her career, and became a full-time caregiver for her son. In 2016, she arrived in the United States and has worked hard to resume her IT career. The flexible, online MIT program will allow her to earn an advanced degree while maintaining a full-time job to support her family.
Reeba Khan is another parent who appreciates the flexibility of the program and the support of the MIT Scholars award. She earned her bachelor’s in computer science from Virginia Tech in 2020 and chose Virginia Tech again for her graduate degree. Despite being a new parent, she feels there is no wrong time to start your education journey.
To learn more about the MIT program please attend an online information session .
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- Pamplin College of Business
Protein3D: Enabling analysis and extraction of metal-containing sites from the Protein Data Bank with molSimplify
Metalloenzymes catalyze a wide range of chemical transformations, with the active site residues playing a key role in modulating chemical reactivity and selectivity. Unlike smaller synthetic catalysts, a metalloenzyme active site is embedded in a larger protein, which makes interrogation of electronic properties and geometric features with quantum mechanical calculations challenging. Here we implement the ability to fetch crystallographic structures from the Protein Data Bank and analyze the metal binding sites in the program molSimplify. We show the usefulness of the newly created protein3D class to extract the local environment around non-heme iron enzymes containing a two histidine motif and prepare 372 structures for quantum mechanical calculations. Our implementation of protein3D serves to expand the range of systems molSimplify can be used to analyze and will enable high-throughput study of metal-containing active sites in proteins.
Course x urop.
Heather J. Kulik
Associate professor of chemical engineering.
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