MD Simulation

AI | Bioinformatics | Foundation Model | Machine Learning | News | Paper Summary | Trending

Sakana AI, MIT, and OpenAI Introduce Automated Search for Artificial Life (ASAL), a Leap Forward in Artificial Life Discovery
ByAnchal Negi March 6, 2025October 22, 2026

Artificial Life (ALife) has fascinated researchers for years, offering insights into the principles of life, intelligence, and evolution. In a pioneering study, Sakana AI, in collaboration with MIT, OpenAI, The Swiss AI Lab IDSIA, and Ken Stanley, introduced Automated Search for Artificial Life (ASAL)—a revolutionary approach using foundation models (FMs) to explore and analyze artificial…

Read More Sakana AI, MIT, and OpenAI Introduce Automated Search for Artificial Life (ASAL), a Leap Forward in Artificial Life Discovery
Bioinformatics | News | Paper Summary | Structural Biology | Trending | Virus

UChicago Scientists Crack the Code of HIV Entry into the Nucleus of the Cell: Could it Lead to New Treatment Strategies?
ByDeotima Chakraborty February 8, 2024October 22, 2026

In a major scientific breakthrough, researchers at the University of Chicago have succeeded in creating a comprehensive model of the nuclear pore complex with the HIV-1 virus capsid. This sheds new light on the complex processes viruses like HIV use to enter host cell nuclei and replicate. HIV-1 transports genetic material into the nucleus through…

Read More UChicago Scientists Crack the Code of HIV Entry into the Nucleus of the Cell: Could it Lead to New Treatment Strategies?
Bioinformatics | News | Structural Biology

‘SINATRA Pro’ a Computational Pipeline for the Discovery of Biophysical Signatures in Protein Dynamics
ByTanveen Kaur May 6, 2022November 9, 2022

A group of scientists jointly proposed SINATRA Pro, a computational system for the extraction of key structural features between two sets of proteins. SINATRA Pro robustly outperformed standard methods in pinpointing the physical locations of both static and dynamic signatures across different kinds of protein ensembles. Recognizing structural differences among proteins can be a non-trivial…

Read More ‘SINATRA Pro’ a Computational Pipeline for the Discovery of Biophysical Signatures in Protein Dynamics

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

MD Simulation

‘SINATRA Pro’ a Computational Pipeline for the Discovery of Biophysical Signatures in Protein Dynamics

Training

Services

Resources

Company