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List of co-cited articles
94 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


The FoldX web server: an online force field.
Joost Schymkowitz, Jesper Borg, Francois Stricher, Robby Nys, Frederic Rousseau, Luis Serrano. Nucleic Acids Res 2005
30

DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability.
Carlos Hm Rodrigues, Douglas Ev Pires, David B Ascher. Nucleic Acids Res 2018
407
30

SDM: a server for predicting effects of mutations on protein stability.
Arun Prasad Pandurangan, Bernardo Ochoa-Montaño, David B Ascher, Tom L Blundell. Nucleic Acids Res 2017
244
26

mCSM: predicting the effects of mutations in proteins using graph-based signatures.
Douglas E V Pires, David B Ascher, Tom L Blundell. Bioinformatics 2014
483
23

SDM--a server for predicting effects of mutations on protein stability and malfunction.
Catherine L Worth, Robert Preissner, Tom L Blundell. Nucleic Acids Res 2011
306
23

I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure.
Emidio Capriotti, Piero Fariselli, Rita Casadio. Nucleic Acids Res 2005
976
23

mCSM-PPI2: predicting the effects of mutations on protein-protein interactions.
Carlos H M Rodrigues, Yoochan Myung, Douglas E V Pires, David B Ascher. Nucleic Acids Res 2019
124
19

Highly accurate protein structure prediction with AlphaFold.
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko,[...]. Nature 2021
19

A method and server for predicting damaging missense mutations.
Ivan A Adzhubei, Steffen Schmidt, Leonid Peshkin, Vasily E Ramensky, Anna Gerasimova, Peer Bork, Alexey S Kondrashov, Shamil R Sunyaev. Nat Methods 2010
15


MAESTRO--multi agent stability prediction upon point mutations.
Josef Laimer, Heidi Hofer, Marko Fritz, Stefan Wegenkittl, Peter Lackner. BMC Bioinformatics 2015
131
15



Structural Implications of Mutations Conferring Rifampin Resistance in Mycobacterium leprae.
Sundeep Chaitanya Vedithi, Sony Malhotra, Madhusmita Das, Sheela Daniel, Nanda Kishore, Anuja George, Shantha Arumugam, Lakshmi Rajan, Mannam Ebenezer, David B Ascher,[...]. Sci Rep 2018
32
11

Fast and accurate predictions of protein stability changes upon mutations using statistical potentials and neural networks: PoPMuSiC-2.0.
Yves Dehouck, Aline Grosfils, Benjamin Folch, Dimitri Gilis, Philippe Bogaerts, Marianne Rooman. Bioinformatics 2009
261
11

Quantification of biases in predictions of protein stability changes upon mutations.
Fabrizio Pucci, Katrien V Bernaerts, Jean Marc Kwasigroch, Marianne Rooman. Bioinformatics 2018
60
11

Identification and Characterization of Genetic Determinants of Isoniazid and Rifampicin Resistance in Mycobacterium tuberculosis in Southern India.
Asma Munir, Narender Kumar, Suresh Babu Ramalingam, Sembulingam Tamilzhalagan, Siva Kumar Shanmugam, Alangudi Natarajan Palaniappan, Dina Nair, Padma Priyadarshini, Mohan Natarajan, Srikanth Tripathy,[...]. Sci Rep 2019
19
15

CUPSAT: prediction of protein stability upon point mutations.
Vijaya Parthiban, M Michael Gromiha, Dietmar Schomburg. Nucleic Acids Res 2006
386
11

MutationTaster2: mutation prediction for the deep-sequencing age.
Jana Marie Schwarz, David N Cooper, Markus Schuelke, Dominik Seelow. Nat Methods 2014
11

UCSF Chimera--a visualization system for exploratory research and analysis.
Eric F Pettersen, Thomas D Goddard, Conrad C Huang, Gregory S Couch, Daniel M Greenblatt, Elaine C Meng, Thomas E Ferrin. J Comput Chem 2004
11

Tuberculosis drug resistance mutation database.
Andreas Sandgren, Michael Strong, Preetika Muthukrishnan, Brian K Weiner, George M Church, Megan B Murray. PLoS Med 2009
377
11

PoPMuSiC 2.1: a web server for the estimation of protein stability changes upon mutation and sequence optimality.
Yves Dehouck, Jean Marc Kwasigroch, Dimitri Gilis, Marianne Rooman. BMC Bioinformatics 2011
295
11

INPS-MD: a web server to predict stability of protein variants from sequence and structure.
Castrense Savojardo, Piero Fariselli, Pier Luigi Martelli, Rita Casadio. Bioinformatics 2016
88
11


Limitations and challenges in protein stability prediction upon genome variations: towards future applications in precision medicine.
Tiziana Sanavia, Giovanni Birolo, Ludovica Montanucci, Paola Turina, Emidio Capriotti, Piero Fariselli. Comput Struct Biotechnol J 2020
40
11

dbSNP: the NCBI database of genetic variation.
S T Sherry, M H Ward, M Kholodov, J Baker, L Phan, E M Smigielski, K Sirotkin. Nucleic Acids Res 2001
7



iStable: off-the-shelf predictor integration for predicting protein stability changes.
Chi-Wei Chen, Jerome Lin, Yen-Wei Chu. BMC Bioinformatics 2013
109
7

Predicting deleterious amino acid substitutions.
P C Ng, S Henikoff. Genome Res 2001
7


Mycobacterium tuberculosis whole genome sequencing and protein structure modelling provides insights into anti-tuberculosis drug resistance.
Jody Phelan, Francesc Coll, Ruth McNerney, David B Ascher, Douglas E V Pires, Nick Furnham, Nele Coeck, Grant A Hill-Cawthorne, Mridul B Nair, Kim Mallard,[...]. BMC Med 2016
77
7

Predicting the functional, molecular, and phenotypic consequences of amino acid substitutions using hidden Markov models.
Hashem A Shihab, Julian Gough, David N Cooper, Peter D Stenson, Gary L A Barker, Keith J Edwards, Ian N M Day, Tom R Gaunt. Hum Mutat 2013
716
7

INPS: predicting the impact of non-synonymous variations on protein stability from sequence.
Piero Fariselli, Pier Luigi Martelli, Castrense Savojardo, Rita Casadio. Bioinformatics 2015
66
7


A general framework for estimating the relative pathogenicity of human genetic variants.
Martin Kircher, Daniela M Witten, Preti Jain, Brian J O'Roak, Gregory M Cooper, Jay Shendure. Nat Genet 2014
7

Evolution of carbapenem resistance in Acinetobacter baumannii during a prolonged infection.
Jane Hawkey, David B Ascher, Louise M Judd, Ryan R Wick, Xenia Kostoulias, Heather Cleland, Denis W Spelman, Alex Padiglione, Anton Y Peleg, Kathryn E Holt. Microb Genom 2018
42
7

Predicting the effects of amino acid substitutions on protein function.
Pauline C Ng, Steven Henikoff. Annu Rev Genomics Hum Genet 2006
638
7

A neural-network-based method for predicting protein stability changes upon single point mutations.
Emidio Capriotti, Piero Fariselli, Rita Casadio. Bioinformatics 2004
117
7



SNAP: predict effect of non-synonymous polymorphisms on function.
Yana Bromberg, Burkhard Rost. Nucleic Acids Res 2007
553
7

Mutations at protein-protein interfaces: Small changes over big surfaces have large impacts on human health.
Harry C Jubb, Arun P Pandurangan, Meghan A Turner, Bernardo Ochoa-Montaño, Tom L Blundell, David B Ascher. Prog Biophys Mol Biol 2017
89
7

mCSM-NA: predicting the effects of mutations on protein-nucleic acids interactions.
Douglas E V Pires, David B Ascher. Nucleic Acids Res 2017
68
7

SuSPect: enhanced prediction of single amino acid variant (SAV) phenotype using network features.
Christopher M Yates, Ioannis Filippis, Lawrence A Kelley, Michael J E Sternberg. J Mol Biol 2014
125
7

Protein stability: a single recorded mutation aids in predicting the effects of other mutations in the same amino acid site.
Gilad Wainreb, Lior Wolf, Haim Ashkenazy, Yves Dehouck, Nir Ben-Tal. Bioinformatics 2011
35
7



SIFT missense predictions for genomes.
Robert Vaser, Swarnaseetha Adusumalli, Sim Ngak Leng, Mile Sikic, Pauline C Ng. Nat Protoc 2016
612
7



Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.