Pracownicy wydziału

Pracownicy emerytowani

Osoby związane z wydziałem

Byli doktoranci

Granty i Nagrody

Journal of Chemical Information and Modeling

Skrót:

J CHEM INF MODEL

ISSN:

1549-9596

Rok	Punkty ministerialne	Impact Factor	Eigenfactor	Article influence
2023	100		0.02854	1.416
2022	100		0.02374	1.278
2021	100		0.02108	1.237
2020	100		0.01846	1.236
2019	100		0.01957	1.208
2018	40		0.02008	1.125
2017	40		0.02042	1.077
2016	40		0.02235	1.082
2015	40		0.02402	1.137
2014	40		0.01958	0.908
2013	40		0.01869	0.872
2012	40		0.01901	0.89
2011	32		0.01701	0.767
2010	32		0.01894	0.797
2009	24		0.01951	0.777
2008	24		0.02245	0.823
2007	0		0.0194	0.719

Publikacje:

7.

Ewelina Jamrozik, Sabina Podlewska, Marek Śmieja

ADMET-PrInt: Evaluation of ADMET Properties: Prediction and Interpretation, Journal of Chemical Information and Modeling vol. 64 (2024), 1425–1432

6.

Tobiasz Ciepliński, Tomasz Danel, Sabina Podlewska, Stanisław Jastrzębski

Generative Models Should at Least Be Able to Design Molecules That Dock Well: A New Benchmark, Journal of Chemical Information and Modeling vol. 63 (2023), 3238-3247

5.

Dawid Warszycki, Łukasz Struski, Marek Śmieja, Rafał Kafel, Rafał Kurczab

Pharmacoprint – a combination of pharmacophore fingerprint and artificial intelligence as a tool for computer-aided drug design, Journal of Chemical Information and Modeling vol. 61 (2021), 5054-5065

4.

Andrzej Bojarski, Stanisław Jastrzębski, Stefan Mordalski, Sabina Podlewska, Maciej Szymczak, Jacek Tabor, Agnieszka Wojtuch

Emulating docking results using a deep neural network: a new perspective for virtual screening, Journal of Chemical Information and Modeling (2020), 4246-4262

3.

Andrzej Bojarski, Stanisław Jastrzębski, Stefan Mordalski, Sabina Podlewska, Maciej Szymczak, Jacek Tabor, Agnieszka Wojtuch

Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening, Journal of Chemical Information and Modeling vol. 60 (2020), 4246-4262

2.

Andrzej Bojarski, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska, Igor Sieradzki, Jacek Tabor

Development of New Methods Needs Proper Evaluation -- Benchmarking Sets for Machine Learning Experiments for Class A GPCRs, Journal of Chemical Information and Modeling vol. 59 (2019), 4974-4992

1.

Krzysztof Murzyn, Robert Szczelina

DMG-α-A Computational Geometry Library for Multimolecular Systems, Journal of Chemical Information and Modeling vol. 54 (2014), 3112–3123