Описание:

Bacterial cellulose is a unique material for production of different materials in medicine, package technology, and leather material substitution.

You have a great opportunity to create your «NeoPatches» product in one week for market! «NeoPatches» idea is based on development of protective patches with specific properties, as a final product. 

You will be able to gain practical skills of working with biohybrid material by production of your own «NeoPatch» from raw cellulose material and auxiliary compounds;
You will be able to design the package of the final product.

Participants will learn to analyze the market, competitors and create business models for their product.

We are waiting for students with a biotechnological background, chemical technology knowledge would be beneficial.

Participation in this project and successful results of MVP presentation will give you an opportunity to become a member of the startup-team!

Описание:

Lignin is a complex polymeric compound found in the cells of vascular plants and some algae. It is used in the production of polymeric materials.

The project involves coming up with new promising materials derived from lignin, developing a software product concept, finding its niche, conducting market analysis and hypothesis testing, developing a financial project model and fundraising scenarios and, as a result, preparing an investment presentation. 

During the workshop participants will learn:
- Generate ideas, package and sell the implementation product
- Conduct economic and marketing analysis of startups + basics of CustDev
- Business modelling 
- Develop financial models
- Prepare investment presentations

After the workshop, you have the opportunity to present your project to investors. 

Participation requirements: will be more comfortable with your own laptop. 

Описание:

The project aims creating a unique protective image. The combination of luminescence and diffraction effects is an example of a modern approach to security printing without dyes, allowing for a unique pattern that can be authenticated on two features at once.

You will have an opportunity to gain an insight into the process of a pattern fabrication and explore the nature of the effects underlying it. You will learn how to:

- obtain colors without dyes
- control the hologram color
- synthesize semiconductors in a drop during printing
- create fluorescent images.

If you want to try out the forces in applied science, discover the field of micro-production, then you should join us. The big plus will be the intersection of interests.

During the week you will:
- learn about the features of the ink composition without dyes
- master the methods of ink rheology measuring and inkjet printing technology
- get acquainted with the work of fluorescent and scanning electron microscopes.

After successful participation in the project, further internship is possible.

Описание:

COVID-19 pandemic has made it crystal clear that early detection of pathogenic diseases is very important for jugulating the infection and preventing its spread. 

Nowadays, real-time polymerase chain reaction (RT-PCR) is considered to be the golden standard for molecular diagnostics. However, this method has many shortcomings, such as time-consuming sample preparation and the need for sophisticated and expensive equipment. 

To overcome these limitations, many other methods of molecular diagnostics are being developed. For example, isothermal amplification uses basically the same principle as PCR but does not need the characteristic temperature cycles.

Our project focuses on the development of DNA-based nanosensors which present another alternative method for molecular diagnostics. These sensors are special DNA structures that can recognize the presence of specific sequences in DNA and RNA.

During the project, the participants will be able to:

- learn about the perspectives and trends in the field of molecular diagnostics
- learn the theory behind PCR, isothermal amplification, and DNA-based technologies
- compare different amplification-based methods in practice
- design and test DNA-based nanosensors for diagnostics

Requirements for the participants: basic knowledge in molecular biology, experience of working in the lab would be highly appreciated, english level should be at least B2 or higher

Описание:

Breast cancer is one of the most widespread and dangerous oncological diseases across the globe. Among different treatment strategies for chemotherapy of such a disease there is an inhibition of cyclin-dependent kinases 4 and 6. In modern clinical recommendations there are palbociclib and abemaciclib used as the most popular CDK4/6 inhibitors. 

However, the strategy also possesses some limitations especially in triple negative breast cancer. One of them is the fast developing resistance for this approach.

But there are several findings that a combination of CDK4/6 inhibitors and inhibitors of PARP1 (poly [ADP-ribose] polymerase 1) led to a synergic effect in several breast cancer cases. According to that there is an unmet need of highlights to molecular mechanisms behind this effect.

During the week students are going to examine the effect of PARP1 and CDK4/6 inhibitors combination in different ways from general cytotoxicity in comparison with singular drugs to specific changes in cell cycle progression and nuclear consistency.

You will learn if there is any synergic or antagonistic effect between commonly used drugs like palbociclib and olaparib.

Then we will combine the data obtained from general synergic/antagonistic effect with specific studies of cytostatic and apoptotic action of a combination regarding flow cytometry data.

The project is suitable for students with a biological and biotechnological background, especially in molecular and cell biology.

Описание:

Yeah! Liquid metals are not only mercury or gallium-based alloys. At room temperature, sodium-potassium alloy (NaK) is also a liquid.

This unique material is truly advanced since it combines fluidity, metallicity and the strongest reduction potential.

Our project is aimed at producing hollow porous metalloid materials using NaK as a reagent for subsequent use as anode materials and catalysts.

During the workshop, you will:

- learn the properties and applications of NaK and Ga-based liquid metals
- synthesize hollow porous metalloid micromaterials
- create unique composites in a single-stage facile synthesis
- assemble the anode and even the battery system with your own hands

After successful participation in the workshop, further work on the project in the laboratory is possible.

See you soon!

Описание:

DNA machines hold great potential in cancer treatment. Building on the discovery of the structure of DNA, we now know that it can be used not only to encode information, but also to construct complex molecular machines capable of detecting and destroying cancerous cells. 

Our workshop will explore the latest developments in this exciting field, offering attendees a unique opportunity to learn about cutting-edge DNA-based technologies and their applications in cancer therapy.

This workshop offers an opportunity to acquire expertise in designing complex structures, assembling DNA nanomachines, and conducting basic methods of molecular biology to evaluate the execution of programmed commands. 

Participants will gain insights on designing and assembling intricate structures, working with DNA nanomachines, and testing programmed commands through molecular biology methods.

Requirements:
- Willingness to learn and ask questions
- B2 level proficiency in English as it is the main communication language in the lab

Описание:

The purpose project is to create fluorescent materials based on carbon dots and biopolymer (cellulose nanocrystals) for 3D security printing.

During the project, you will learn how to synthesize carbon dots on the surface of biopolymers, characterize them using a set of physico-chemical methods, and create objects using 3D printing.

You will learn methods for the synthesis of carbon dots on the surface of biopolymers: hydrothermal, reflux, in situ, ex situ; methods of solution gelation: ionic cross-linking, using a gelling agent; spectrofluorimetry, dynamic light scattering, scanning electron microscopy, 3D printing.

The project is suitable for students with a chemical background and knowledge of chemical methods.

Описание:

Many drugs do not have the necessary physical and chemical properties to be approved for use. Co-crystallization is an available method to control the properties of therapeutic molecules by combining it with an inert additional molecule (coformer). 

The outcome of the project will be a system that will greatly speed up, simplify, and reduce the cost of drug development.

During this project, participants will gain experience with molecular representations, classical machine learning models, and generative deep learning models.

The project invites participants to learn how to:
- Pre-process data and do feature engineering
- Apply machine learning methods to create predictive models
- Generate molecules using generative-adversarial neural networks

The requirements for participants are interest in artificial intelligence, basic knowledge of Python and chemistry.

In case of successful completion of the workshop there could be further cooperation on the base of the Chemistry and Artificial Intelligence Center to continue the work on this project or other projects.

Описание:

This project mainly focuses on finding and repurposing of available FDA approved drugs to target the RNA dependent RNA polymerase of SARS-CoV-2 for inhibition of viral replication.

Even though the number of infected individuals are low there is always the possibility of emergence of a new strain of SARS-CoV-2 with high virulence and infectivity, and there is pressing global demand for new universal antiviral drugs that can treat viral infection. 

In an effort to resolve these issues we implement available computational approach to screen potential antiviral drugs. In a week, we train students to implement Computer Aided Drug Design (CADD) methods to discover novel drug candidates. 

During the workshop, participants will learn methods such as:
- RdRp protein sequence retrieval, mutation identification and evaluation
- Homology modeling of RdRp protein
- Target drug candidate (ligand molecule) screening and preparation
- Molecular docking
- Protein-ligand interaction evaluation

Requirement for participants:
- Basic knowledge in biotechnology and bioinformatics
- Important high motivation

After the workshop, there is an opportunity to publish an article and take an internship in the laboratory

Описание:

The project is devoted to developing a service that predicts a range of electrical characteristics of sodium-ion batteries based on the composition of the cathode material. 

As part of the project, you'll get a chance to practice how to collect the database, learn approaches to data analysis and dependency search using Python in a couple lines of code, and learn about artificial intelligence capabilities in battery systems and energy.

You will be able to go all the way from collecting a unique database to testing predictive capability for real devices. Your participation will allow us to create a more accurate and reliable service that will greatly improve the efficiency of sodium-ion batteries.

Requirements: 
- laptop
- basic knowledge of Python

After the workshop, cooperation, consultations, assistance in the implementation of a project or idea, as well as an internship in a scientific group are possible.

Описание:

The aim of the project is to create a model that will generate photographs of nanomaterials that would normally be obtained with a scanning electron microscope. The generation should be based on the synthesis texts of these nanomaterials. 

The global goal of such a system is to reduce the amount of time it takes researchers to create new nanomaterials by reducing the amount of experimental work.

Taking part in this project will allow participants to deepen their knowledge of chemical domain programming, learn more about various neural network architectures, such as perceptrons, autoencoders and transformers, and acquire teamwork skills, use of git and VS Code.

During the creation of the system we will study the specifics of using language models such as BERT, learn about image segmentation and augmentation for the dataset, and understand the variational autoencoders with which the images can be generated.

After the workshop, participants will be able to continue their work on the project in our Artificial Intelligence in Chemistry Center.

A basic knowledge of neural networks as well as programming knowledge is recommended to work on the project. However, even if you don't know something, don't worry, there will be additional online classes before the workshop.