Marcin Magnus

ORCID: 0000-0002-5232-2234
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About
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Research Areas
  • RNA and protein synthesis mechanisms
  • RNA modifications and cancer
  • RNA Research and Splicing
  • Protein Structure and Dynamics
  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • RNA Interference and Gene Delivery
  • MicroRNA in disease regulation
  • Alkaline Phosphatase Research Studies
  • Electrochemical sensors and biosensors
  • Enzyme Structure and Function
  • Protein Kinase Regulation and GTPase Signaling
  • Advanced biosensing and bioanalysis techniques
  • Chemical Synthesis and Analysis
  • Endoplasmic Reticulum Stress and Disease
  • Cellular transport and secretion

International Institute of Molecular and Cell Biology
2012-2024

Harvard University
2024

University of Warsaw
2019-2023

Polish Academy of Sciences
2022-2023

Stanford University
2017-2019

Adam Mickiewicz University in Poznań
2012

Institute of Bioorganic Chemistry, Polish Academy of Sciences
2008

National Cancer Institute
2005

Center for Cancer Research
2005

Protein–RNA and protein–DNA interactions play fundamental roles in many biological processes. A detailed understanding of these requires knowledge about protein–nucleic acid complex structures. Because the experimental determination complexes is time-consuming perhaps futile some instances, we have focused on computational docking methods starting from separate Docking are widely employed to study protein–protein interactions; however, only a few been made available model complexes. Here,...

10.1093/nar/gkv493 article EN cc-by Nucleic Acids Research 2015-05-14

This paper is a report of second round RNA-Puzzles, collective and blind experiment in three-dimensional (3D) RNA structure prediction. Three puzzles, Puzzles 5, 6, 10, represented sequences three large structures with limited or no homology previously solved molecules. A lariat-capping ribozyme, as well riboswitches complexed to adenosylcobalamin tRNA, were predicted by seven groups using RNAComposer, ModeRNA/SimRNA, Vfold, Rosetta, DMD, MC-Fold, 3dRNA, AMBER refinement. Some derived models...

10.1261/rna.049502.114 article EN RNA 2015-04-16

RNA-Puzzles is a collective experiment in blind 3D RNA structure prediction. We report here third round of RNA-Puzzles. Five puzzles, 4, 8, 12, 13, 14, all structures riboswitch aptamers and puzzle 7, ribozyme structure, are included this the experiment. The include biological binding sites for small molecules ( S -adenosyl methionine, cyclic diadenosine monophosphate, 5-amino 4-imidazole carboxamide riboside 5′-triphosphate, glutamine) proteins (YbxF), one set describes large conformational...

10.1261/rna.060368.116 article EN RNA 2017-01-30

RNA-Puzzles is a collective endeavor dedicated to the advancement and improvement of RNA 3D structure prediction. With agreement from crystallographers, structures are predicted by various groups before publication crystal structures. We now report prediction for six sequences: four nucleolytic ribozymes two riboswitches. Systematic protocols comparing models described analyzed. In these puzzles, we discuss (i) comparison between automated web servers human experts; (ii) coaxial stacking;...

10.1261/rna.075341.120 article EN RNA 2020-05-05

RNA function in many biological processes depends on the formation of three-dimensional (3D) structures. However, structure is difficult to determine experimentally, which has prompted development predictive computational methods. Here, we introduce a user-friendly online interface for modeling 3D structures using SimRNA, method that uses coarse-grained representation molecules, utilizes Monte Carlo sample conformational space, and relies statistical potential describe interactions folding...

10.1093/nar/gkw279 article EN cc-by Nucleic Acids Research 2016-04-19

Abstract Significant improvements have been made in the efficiency and accuracy of RNA 3D structure prediction methods during succeeding challenges RNA-Puzzles, a community-wide effort on assessment blind tertiary structures. The RNA-Puzzles contest has shown, among others, that development validation computational for fold strongly depend benchmark datasets comparison algorithms. Yet, there no systematic set or decoy structures available RNA, hindering standardization comparative tests...

10.1093/nar/gkz1108 article EN cc-by-nc Nucleic Acids Research 2019-11-15

With advances in protein structure prediction thanks to deep learning models like AlphaFold, RNA has recently received increased attention from researchers. RNAs introduce substantial challenges due the sparser availability and lower structural diversity of experimentally resolved structures comparison structures. These are often poorly addressed by existing literature, many which report inflated performance using training testing sets with significant overlap. Further, most recent Critical...

10.1016/j.jmb.2024.168552 article EN cc-by Journal of Molecular Biology 2024-03-27

Research on ribonucleic acid (RNA) structures and functions benefits from easy-to-use tools for computational prediction analyses of RNA three-dimensional (3D) structure. The SimRNAweb server version 2.0 offers an enhanced, user-friendly platform 3D structure analysis folding trajectories based the SimRNA method. employs a coarse-grained model, Monte Carlo sampling statistical potentials to explore conformational space, optionally guided by spatial restraints. Recognized its accuracy in...

10.1093/nar/gkae356 article EN cc-by Nucleic Acids Research 2024-05-13

Abstract With advances in protein structure prediction thanks to deep learning models like AlphaFold, RNA has recently received increased attention from researchers. RNAs introduce substantial challenges due the sparser availability and lower structural diversity of experimentally resolved structures comparison structures. These are often poorly addressed by existing literature, many which report inflated performance using training testing sets with significant overlap. Further, most recent...

10.1101/2024.01.30.578025 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-02-02
Fan Bu Yagoub Adam Ryszard W. Adamiak Maciej Antczak Belisa R. H. de Aquino and 94 more Nagendar Goud Badepally Robert Batey Eugene F. Baulin Paweł Boiński M. Boniecki Janusz M. Bujnicki Kristy A. Carpenter Jose Chacon Shi‐Jie Chen Wah Chiu Pablo Cordero Naba Krishna Das Rhiju Das Wayne Dawson Frank DiMaio Feng Ding Anne-Catherine Dock-Bregeon Nikolay V. Dokholyan Ron O. Dror Stanisław Dunin-Horkawicz Stephan Eismann Eric Ennifar Reza Esmaeeli Masoud Amiri Farsani A.R. Ferré-D′Amaré Caleb Geniesse George E. Ghanim Horacio V. Guzman Iris V. Hood Lin Huang Dharm Skandh Jain Farhang Jaryani Lei Jin Astha Joshi Masha Karelina Jeffrey S. Kieft Wipapat Kladwang Sebastian Kmiecik Deepak Koirala Markus Kollmann Rachael C. Kretsch Mateusz Kurciński Jun Li Shuang Li Marcin Magnus Benoı̂t Masquida S. Naeim Moafinejad Arup Mondal Sunandan Mukherjee Thi Hoang Duong Nguyen Grigory I. Nikolaev Chandran Nithin Grace Nye Iswarya P. N. Pandaranadar Jeyeram Alberto Pérez Phillip Pham Joseph A. Piccirilli Smita P. Pilla Radosław Pluta Simón Poblete Almudena Ponce-Salvatierra Mariusz Popenda Łukasz Popenda Fabrizio Pucci Ramya Rangan Angana Ray Aiming Ren Joanna Sarzyńska Congzhou M. Sha Filip Stefaniak Zhaoming Su Krishna C. Suddala Marta Szachniuk Raphael J.L. Townshend Robert J. Trachman Jian Wang Wenkai Wang Andrew M. Watkins Tomasz Wirecki Yi Xiao Peng Xiong Yiduo Xiong Jianyi Yang Joseph D. Yesselman Jinwei Zhang Yi Zhang Zhenzhen Zhang Yuanzhe Zhou Tomasz Żok Dong Zhang Sicheng Zhang Adriana Żyła Éric Westhof Zhichao Miao

RNA-Puzzles is a collective endeavor dedicated to the advancement and improvement of RNA three-dimensional structure prediction. With agreement from structural biologists, structures are predicted by modeling groups before publication experimental structures. We report large-scale set predictions 18 for 23 RNA-Puzzles: 4 elements, 2 Aptamers, Viral 5 Ribozymes 8 Riboswitches. describe automatic assessment protocols comparisons between prediction experiment. Our analyses reveal some critical...

10.1038/s41592-024-02543-9 article EN cc-by-nc-nd Nature Methods 2024-12-02

Today, there are several effective deep learning models for predicting the 3D structure of proteins. Building on their success, have been developed non-coding RNAs. Unfortunately, these much less accurate than protein counterparts. In this paper, we highlight differences between and RNA structure, demonstrate methods targeted at addressing those differences, with aim prompting discussion topics. We present an RNA-specific pipeline generating structural Multiple Sequence Alignments (MSAs)....

10.1101/2025.02.14.638364 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2025-02-17

The complexity in the generation of RNA multiple sequence alignments (MSAs) and assessment accuracy such contributes to challenges utilization MSAs diverse integrative methods. RNAhub is a freely available userfriendly web server for reliable detection presence structural utilizing evolutionary information. This web-based tool, developed by integration existing computational approaches, takes an as input automatically retrieves aligns sequences homologous (query) through iterative...

10.1101/2025.03.11.642701 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2025-03-13

In this work, we describe the results of a comprehensive structural bioinformatics analysis spliceosomal proteome. We used fold recognition to complement prior data on ordered domains 252 human splicing proteins. Examples newly identified include PWI domain in U5 snRNP protein 200K (hBrr2, residues 258–338), while examples previously known with determined DUF1115 U4/U6 di-snRNP 90K (hPrp3, 540–683). also established non-redundant set experimental models proteins, as well constructed silico...

10.1093/nar/gks347 article EN cc-by-nc Nucleic Acids Research 2012-05-09

Abstract Summary Structure determination is a key step in the functional characterization of many non-coding RNA molecules. High-resolution 3D structure efforts, however, are not keeping up with pace discovery new sequences. This increases importance computational approaches and low-resolution experimental data, such as from small-angle X-ray scattering experiments. We present Masonry, computer program web service for fully automated modeling structures. It assemblies fragments into...

10.1093/bioinformatics/btad527 article EN cc-by Bioinformatics 2023-08-30

RNArchitecture is a database that provides comprehensive description of relationships between known families structured non-coding RNAs, with focus on structural similarities. The classification hierarchical and similar to the system used in SCOP CATH databases protein structures. Its central level Family, which builds Rfam catalog gathers closely related RNAs. Consensus structures Families are described reduced secondary structure representation. Evolutionarily grouped into Superfamilies....

10.1093/nar/gkx966 article EN cc-by-nc Nucleic Acids Research 2017-10-16

10.1016/j.bbapap.2012.05.018 article EN Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics 2012-06-15

The understanding of the importance RNA has dramatically changed over recent years. As in case proteins, function an molecule is encoded its tertiary structure, which turn determined by molecule's sequence. prediction structures complex RNAs still a challenging task.Using observation that sequences from same family fold into conserved we test herein whether parallel modeling homologs can improve ab initio structure prediction. EvoClustRNA multi-step process, homologous for target sequence...

10.1186/s12859-019-3120-y article EN cc-by BMC Bioinformatics 2019-10-22

Abstract Significant improvements have been made in the efficiency and accuracy of RNA 3D structure prediction methods recent years; however, many tools developed field stay exclusive to only a few bioinformatic groups. To perform complete modeling analysis as proposed by RNA-Puzzles community, researchers must familiarize themselves with quite complex set tools. In order facilitate processing sequences structures, we previously rna-tools package. However, using requires installation mixture...

10.1093/nar/gkac372 article EN cc-by Nucleic Acids Research 2022-05-02
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