Babgen Manookian on Muck Rack

Babgen Manookian

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Articles

DRUMBEAT temporally resolved interpretable machine learning model for characterizing state transitions in protein dynamics

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By Babgen Manookian, Elizaveta Mukhaleva, Grigoriy Gogoshin, Supriyo Bhattacharya, Nagarajan Vaidehi, Andrei Rodin, Sergio Branciamore
| Nature Verified
Abstract Conformational transitions are central to protein function, yet their mechanistic analysis remains challenging due to the multi-dimensionality and timescales underlying the molecular motions. While interpretable network models such as Bayesian networks have advanced the identification of key residue interactions in molecular dynamics (MD) data, they lack temporal resolution and cannot capture event sequences during transitions.
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Temporally resolved and interpretable machine learning model of GPCR conformational transition

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By Babgen Manookian, Elizaveta Mukhaleva, Grigoriy Gogoshin, Supriyo Bhattacharya, Sivaraj Sivaramakrishnan, Nagarajan Vaidehi, Andrei Rodin, Sergio Branciamore
| Flipboard
A Rare Cancer Is Surging in Young People, And Experts Are Puzzled A very rare type of cancer is on a sharp upward trajectory in younger generations, and no one knows why. Recent research in the US reveals that Gen …
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Temporally resolved and interpretable machine learning model of GPCR conformational transition - Nature Communications

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By Babgen Manookian, Grigoriy Gogoshin, Supriyo Bhattacharya, Sivaraj Sivaramakrishnan, Nagarajan Vaidehi, Andrei Rodin
| Nature Verified
Abstract Identifying target-specific drugs remains a challenge in pharmacology, especially for highly homologous proteins such as dopamine receptors D2R and D3R. Differences in target-specific cryptic druggable sites for such receptors arise from the distinct conformational ensembles underlying their dynamic behavior.
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