In Silik is a technology-based company that provides consulting and development services for advanced computational solutions based on molecular modeling and artificial intelligence (AI). The company operates at the intersection of chemistry and biochemistry, with applications across industries such as pharmaceuticals, food, biomedicine, agribusiness, and biotechnology.
In Silik’s business model is built on the following pillars:
Delivery of cutting-edge solutions for the design and optimization of biomolecules and other chemical entities (e.g., proteins, peptides, and drugs) using multiscale simulations, cheminformatics, and machine learning techniques.
Reduction of time and costs in research and development processes, enabling laboratories and companies to make faster and better-informed strategic decisions.
Revenue generation through specialized consulting services, collaborative R&D projects, and the development and deployment of customized computational platforms.
Long-term growth through the licensing of proprietary software and the provision of cloud-based computational services, thereby expanding and diversifying the business model.
1.2 Vision and Objectives
The founding team’s vision is to position In Silik as a national and international leader in computational solutions for molecular design and optimization, fostering effective technology transfer to the productive sector.
1.3 Service Lines
With the mission of contributing to the development of high value-added biomolecular products, In Silik offers the following service lines, designed to address the needs of both industry and academia.
1.3.1 Protein Design with Controllable Functions
Enhancement of biomolecular physicochemical properties, including improved thermostability, resistance to pH variations, increased solubility, and greater robustness against oxidation.
Control and regulation of oligomeric state.
Modulation of substrate-binding specificity (e.g., carbohydrates, nucleic acids).
Design of bioconjugates.
Redesign of post-translational modification sites in close relation to functional structure.
Epitope modification and optimization.
1.3.2 Peptide and Drug Design
Modulation of drug permeability and solubility across cell membranes.
Advanced virtual screening using deep neural networks to predict ligand–protein affinity.
Design of peptides and cyclic peptides with therapeutic potential (both de novo and template-based).
Improvement of cyclic peptide stability against intestinal and gastric degradation.
Epitope identification (e.g., regions of proteins recognized by antibodies).
De novo and ligand-based drug design.
1.3.3 Modeling, Diagnosis, and Prediction of Biomolecular Behavior
Structural and dynamical prediction of biomolecules using AI-based methods.
Characterization of enzymatic activity.
Characterization of optical and electron transfer properties.
Together, these service lines facilitate the transition from fundamental research to industrial and commercial applications by reducing experimental validation times and costs while maximizing the probability of success in the development of innovative products.
2. Who We Are
CEO
Cecilia Cosa cc@insilik.com
Global Executive with a focus on strategic business initiatives including Sustainability, Diversity, Equity and Inclusion, Corporate Compliance, Corporate Responsibility and key issue-management. Expertise implementing and leading DEI, ESG, compliance, social impact, philanthropy, supply chain sustainability programs, and best-in-class corporate citizenship initiatives.
CFO
Adrián Nirón adrian@insilik.com
Certified Public Accountant (University of Buenos Aires) with a Master’s degree in Corporate Finance (UCEMA). He served as Executive Director of Agencia IDi from 2019 to 2023 and has extensive experience advising SMEs and startups on tax, accounting, financial, administrative, and operational matters.
Scientific and Technical Team
Scientific Advisor
Darío Estrin dario@insilik.com
Senior Researcher at CONICET (CIC) and Full Professor at the Faculty of Exact and Natural Sciences (FCEN-UBA). Director of INQUIMAE (UBA–CONICET). Internationally recognized expert in multiscale computational simulations and electronic structure methods.
Santiago Di Lella santiago@insilik.com
Independent Researcher at CONICET (CIC) at IQUIBICEN and Adjunct Professor at CBC-UBA. Specialist in computer-aided design and redesign of biomolecules and bioconjugates.
Uriel Morzan uriel@insilik.com
Assistant Researcher at CONICET (CIC), based at IFIBA, and Professor at FCEN-UBA. Expert in data science applied to biophysical and physicochemical problems, light–biomolecule interactions, and computational identification of optimal mutation sites.
Jonathan Semelak jonathan@insilik.com
Computational Chemist | Machine Learning for Molecular Modeling | Scientific Software Developer | Data Science. Specialist in AI-driven multiscale simulations and cheminformatics.
3. Scientific and Technological Foundations
The In Silik initiative builds on a strong body of knowledge developed within laboratories of the Faculty of Exact and Natural Sciences (FCEN-UBA), including:
High-performance computational simulations of biomolecular systems.
Structural and dynamical modeling of proteins and other biomolecules.
Artificial intelligence applications for the prediction and optimization of biophysical properties.
Advanced cheminformatics for virtual screening and the design of compounds for therapeutic, biotechnological, and industrial applications.