A citation-based method for searching scientific literature

Carlos Hm Rodrigues, Douglas Ev Pires, David B Ascher. Nucleic Acids Res 2018
Times Cited: 407







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



Times Cited
  Times     Co-cited
Similarity



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
18

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
17

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

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
14

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
13

Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.
Sue Richards, Nazneen Aziz, Sherri Bale, David Bick, Soma Das, Julie Gastier-Foster, Wayne W Grody, Madhuri Hegde, Elaine Lyon, Elaine Spector,[...]. Genet Med 2015
11


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
10

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
9


The FoldX web server: an online force field.
Joost Schymkowitz, Jesper Borg, Francois Stricher, Robby Nys, Frederic Rousseau, Luis Serrano. Nucleic Acids Res 2005
9

SIFT web server: predicting effects of amino acid substitutions on proteins.
Ngak-Leng Sim, Prateek Kumar, Jing Hu, Steven Henikoff, Georg Schneider, Pauline C Ng. Nucleic Acids Res 2012
8

A new coronavirus associated with human respiratory disease in China.
Fan Wu, Su Zhao, Bin Yu, Yan-Mei Chen, Wen Wang, Zhi-Gang Song, Yi Hu, Zhao-Wu Tao, Jun-Hua Tian, Yuan-Yuan Pei,[...]. Nature 2020
8

Spike mutation D614G alters SARS-CoV-2 fitness.
Jessica A Plante, Yang Liu, Jianying Liu, Hongjie Xia, Bryan A Johnson, Kumari G Lokugamage, Xianwen Zhang, Antonio E Muruato, Jing Zou, Camila R Fontes-Garfias,[...]. Nature 2021
873
8

DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutations.
Carlos H M Rodrigues, Douglas E V Pires, David B Ascher. Protein Sci 2021
65
12

CUPSAT: prediction of protein stability upon point mutations.
Vijaya Parthiban, M Michael Gromiha, Dietmar Schomburg. Nucleic Acids Res 2006
386
7


SIFT: Predicting amino acid changes that affect protein function.
Pauline C Ng, Steven Henikoff. Nucleic Acids Res 2003
7

Tracking Changes in SARS-CoV-2 Spike: Evidence that D614G Increases Infectivity of the COVID-19 Virus.
Bette Korber, Will M Fischer, Sandrasegaram Gnanakaran, Hyejin Yoon, James Theiler, Werner Abfalterer, Nick Hengartner, Elena E Giorgi, Tanmoy Bhattacharya, Brian Foley,[...]. Cell 2020
7

The I-TASSER Suite: protein structure and function prediction.
Jianyi Yang, Renxiang Yan, Ambrish Roy, Dong Xu, Jonathan Poisson, Yang Zhang. Nat Methods 2015
7

PredictSNP: robust and accurate consensus classifier for prediction of disease-related mutations.
Jaroslav Bendl, Jan Stourac, Ondrej Salanda, Antonin Pavelka, Eric D Wieben, Jaroslav Zendulka, Jan Brezovsky, Jiri Damborsky. PLoS Comput Biol 2014
396
7

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
7

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
7

mCSM-membrane: predicting the effects of mutations on transmembrane proteins.
Douglas E V Pires, Carlos H M Rodrigues, David B Ascher. Nucleic Acids Res 2020
29
24

The Protein Data Bank.
H M Berman, J Westbrook, Z Feng, G Gilliland, T N Bhat, H Weissig, I N Shindyalov, P E Bourne. Nucleic Acids Res 2000
7

SWISS-MODEL: homology modelling of protein structures and complexes.
Andrew Waterhouse, Martino Bertoni, Stefan Bienert, Gabriel Studer, Gerardo Tauriello, Rafal Gumienny, Florian T Heer, Tjaart A P de Beer, Christine Rempfer, Lorenza Bordoli,[...]. Nucleic Acids Res 2018
7

Comparative Protein Structure Modeling Using MODELLER.
Benjamin Webb, Andrej Sali. Curr Protoc Bioinformatics 2016
7

PremPS: Predicting the impact of missense mutations on protein stability.
Yuting Chen, Haoyu Lu, Ning Zhang, Zefeng Zhu, Shuqin Wang, Minghui Li. PLoS Comput Biol 2020
43
16

MAESTROweb: a web server for structure-based protein stability prediction.
Josef Laimer, Julia Hiebl-Flach, Daniel Lengauer, Peter Lackner. Bioinformatics 2016
69
10

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
7

SWISS-MODEL: An automated protein homology-modeling server.
Torsten Schwede, Jürgen Kopp, Nicolas Guex, Manuel C Peitsch. Nucleic Acids Res 2003
6

Molecular Dynamics Simulation for All.
Scott A Hollingsworth, Ron O Dror. Neuron 2018
439
6

Can Predicted Protein 3D Structures Provide Reliable Insights into whether Missense Variants Are Disease Associated?
Sirawit Ittisoponpisan, Suhail A Islam, Tarun Khanna, Eman Alhuzimi, Alessia David, Michael J E Sternberg. J Mol Biol 2019
158
6

MutationTaster2: mutation prediction for the deep-sequencing age.
Jana Marie Schwarz, David N Cooper, Markus Schuelke, Dominik Seelow. Nat Methods 2014
6


The mutational constraint spectrum quantified from variation in 141,456 humans.
Konrad J Karczewski, Laurent C Francioli, Grace Tiao, Beryl B Cummings, Jessica Alföldi, Qingbo Wang, Ryan L Collins, Kristen M Laricchia, Andrea Ganna, Daniel P Birnbaum,[...]. Nature 2020
6

Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding.
Tyler N Starr, Allison J Greaney, Sarah K Hilton, Daniel Ellis, Katharine H D Crawford, Adam S Dingens, Mary Jane Navarro, John E Bowen, M Alejandra Tortorici, Alexandra C Walls,[...]. Cell 2020
959
6

ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules.
Haim Ashkenazy, Shiran Abadi, Eric Martz, Ofer Chay, Itay Mayrose, Tal Pupko, Nir Ben-Tal. Nucleic Acids Res 2016
6

ENCoM server: exploring protein conformational space and the effect of mutations on protein function and stability.
Vincent Frappier, Matthieu Chartier, Rafael J Najmanovich. Nucleic Acids Res 2015
92
5

Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation.
Daniel Wrapp, Nianshuang Wang, Kizzmekia S Corbett, Jory A Goldsmith, Ching-Lin Hsieh, Olubukola Abiona, Barney S Graham, Jason S McLellan. Science 2020
5

Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor.
Jun Lan, Jiwan Ge, Jinfang Yu, Sisi Shan, Huan Zhou, Shilong Fan, Qi Zhang, Xuanling Shi, Qisheng Wang, Linqi Zhang,[...]. Nature 2020
5

AQUA and PROCHECK-NMR: programs for checking the quality of protein structures solved by NMR.
R A Laskowski, J A Rullmannn, M W MacArthur, R Kaptein, J M Thornton. J Biomol NMR 1996
5

g_mmpbsa--a GROMACS tool for high-throughput MM-PBSA calculations.
Rashmi Kumari, Rajendra Kumar, Andrew Lynn. J Chem Inf Model 2014
5


VarSome: the human genomic variant search engine.
Christos Kopanos, Vasilis Tsiolkas, Alexandros Kouris, Charles E Chapple, Monica Albarca Aguilera, Richard Meyer, Andreas Massouras. Bioinformatics 2019
684
5

Inferring the molecular and phenotypic impact of amino acid variants with MutPred2.
Vikas Pejaver, Jorge Urresti, Jose Lugo-Martinez, Kymberleigh A Pagel, Guan Ning Lin, Hyun-Jun Nam, Matthew Mort, David N Cooper, Jonathan Sebat, Lilia M Iakoucheva,[...]. Nat Commun 2020
112
5

The EMBL-EBI search and sequence analysis tools APIs in 2019.
Fábio Madeira, Young Mi Park, Joon Lee, Nicola Buso, Tamer Gur, Nandana Madhusoodanan, Prasad Basutkar, Adrian R N Tivey, Simon C Potter, Robert D Finn,[...]. Nucleic Acids Res 2019
5


CSM-lig: a web server for assessing and comparing protein-small molecule affinities.
Douglas E V Pires, David B Ascher. Nucleic Acids Res 2016
76
6


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.