wanyu/IteraTeR_full_sent huggingface dataset:
Original:  On the interface level the entropy of the small interface assembly system is approximated by the sampling of the configurational space using the recently reported geometric method called  EASAL (efficient atlasing and sampling of assembly landscapes) .
Revised:  On the interface level the entropy of the small interface assembly system is approximated by the sampling of the configurational space using the recently reported geometric method called bar-codes EASAL (efficient atlasing and sampling of assembly landscapes) .
Edit intent: meaning-changed
Original:  On the interface level the entropy of the small interface assembly system is approximated by the sampling of the configurational space using the recently reported geometric method called  EASAL (efficient atlasing and sampling of assembly landscapes) .
Revised:  On the interface level the entropy of the small interface assembly system is approximated by the sampling of the configurational space using the recently reported geometric method called . The first (direct) prediction of cruciality of an interaction for successful capsid assembly assumed the interface assembly is essential for capsid assembly. The interface-scale prediction was blind to the mutagenesis data used for validation. The atlases are generated by the geometric method and curated opensource software EASAL (efficient atlasing and sampling of assembly landscapes) .
Edit intent: meaning-changed
Original:  On the interface level the entropy of the small interface assembly system is approximated by the sampling of the configurational space using the recently reported geometric method called  EASAL (efficient atlasing and sampling of assembly landscapes) .
Revised:  On the interface level the entropy of the small interface assembly system is approximated by the sampling of the configurational space using the recently reported geometric method called EASAL (efficient atlasing and search of assembly landscapes) .
Edit intent: clarity
Original:  On the interface level the entropy of the small interface assembly system is approximated by the sampling of the configurational space using the recently reported geometric method called  EASAL (efficient atlasing and sampling of assembly landscapes) . On the capsid level the method statistically learns how to combine the crucialness of interactions for assembly of each interface (obtained using EASAL) with crucialness of each interface for assembly of capsid (obtained from capsid structure and symmetry) to predict crucialness of interactions for capsid assembly .
Revised:  On the interface level the entropy of the small interface assembly system is approximated by the sampling of the configurational space using the recently reported geometric method called EASAL (efficient atlasing and sampling of assembly landscapes) , whose input consists of (a) the monomer geometry - atom coordinates; and for each interface type, (b) pair potentials for a candidate set of interactions along with Van der Waals sterics, and (c) structure of selected, small subassemblies. The method comes with rigorous accuracy-efficiency trade-off estimates. A second two-scale measure of cruciality of interactions and residues for capsid assembly .
Edit intent: meaning-changed
Original:  On the capsid level the method statistically learns how to combine the crucialness of interactions for assembly of each interface (obtained using EASAL) with crucialness of each interface for assembly of capsid (obtained from capsid structure and symmetry) to predict crucialness of interactions for capsid assembly .
Revised:  On the capsid level the method statistically learns how to combine the crucialness of interactions for assembly of each interface (obtained using EASAL) with crucialness of each interface for assembly of capsid (obtained from capsid structure and symmetry) to predict crucialness of interactions for capsid assembly is obtained as follows. Combinatorial entropy is used to define the cruciality of an interface for successful assembly of the capsid. This is combined with the interface-scale prediction using statistical learning.
Edit intent: meaning-changed
Original: We predict crucial inter-atomic interactions between monomers for the autonomous assembly of three icosahedral viral capsids , Adeno Associated Virus type 2 (AAV2) , Murine Parvo Virus (MVM),  and Bromo Mosaic Virus (BMV), by approximating changes in the partition function of the capsid assembly landscape when an interaction is removed.
Revised: Icosahedral viruses range in diameter from 10's to 100's of nanometers, their infectious genome encapsulated by a shell assembled by a poorly understood multiscale process, starting from an integer multiple (the T number) of 60 nearly identical viral capsid or coat protein (VP) monomers. We predict and experimentally validate inter-atomic interactions between monomers for the autonomous assembly of three icosahedral viral capsids , Adeno Associated Virus type 2 (AAV2) , Murine Parvo Virus (MVM), and Bromo Mosaic Virus (BMV), by approximating changes in the partition function of the capsid assembly landscape when an interaction is removed.
Edit intent: meaning-changed
Original: We predict crucial inter-atomic interactions between monomers for the autonomous assembly of three icosahedral viral capsids , Adeno Associated Virus type 2 (AAV2) , Murine Parvo Virus (MVM),  and Bromo Mosaic Virus (BMV), by approximating changes in the partition function of the capsid assembly landscape when an interaction is removed.
Revised: We predict crucial inter-atomic hotspot interactions between VP monomers that are important for the assembly of 3 types of icosahedral viral capsids , Adeno Associated Virus type 2 (AAV2) , Murine Parvo Virus (MVM), and Bromo Mosaic Virus (BMV), by approximating changes in the partition function of the capsid assembly landscape when an interaction is removed.
Edit intent: meaning-changed
Original: We predict crucial inter-atomic interactions between monomers for the autonomous assembly of three icosahedral viral capsids , Adeno Associated Virus type 2 (AAV2) , Murine Parvo Virus (MVM),  and Bromo Mosaic Virus (BMV), by approximating changes in the partition function of the capsid assembly landscape when an interaction is removed.
Revised: We predict crucial inter-atomic interactions between monomers for the autonomous assembly of three icosahedral viral capsids : Adeno Associated Virus type 2 (AAV2) , Murine Parvo Virus (MVM), and Bromo Mosaic Virus (BMV), by approximating changes in the partition function of the capsid assembly landscape when an interaction is removed.
Edit intent: fluency
Original: We predict crucial inter-atomic interactions between monomers for the autonomous assembly of three icosahedral viral capsids , Adeno Associated Virus type 2 (AAV2) , Murine Parvo Virus (MVM),  and Bromo Mosaic Virus (BMV), by approximating changes in the partition function of the capsid assembly landscape when an interaction is removed.
Revised: We predict crucial inter-atomic interactions between monomers for the autonomous assembly of three icosahedral viral capsids , Adeno Associated Virus serotype 2 (AAV2) , Murine Parvo Virus (MVM), and Bromo Mosaic Virus (BMV), by approximating changes in the partition function of the capsid assembly landscape when an interaction is removed.
Edit intent: meaning-changed
Original: We predict crucial inter-atomic interactions between monomers for the autonomous assembly of three icosahedral viral capsids , Adeno Associated Virus type 2 (AAV2) , Murine Parvo Virus (MVM),  and Bromo Mosaic Virus (BMV), by approximating changes in the partition function of the capsid assembly landscape when an interaction is removed.
Revised: We predict crucial inter-atomic interactions between monomers for the autonomous assembly of three icosahedral viral capsids , Adeno Associated Virus type 2 (AAV2) and Minute Virus of Mice (MVM), and Bromo Mosaic Virus (BMV), by approximating changes in the partition function of the capsid assembly landscape when an interaction is removed.
Edit intent: meaning-changed
Original: We predict crucial inter-atomic interactions between monomers for the autonomous assembly of three icosahedral viral capsids , Adeno Associated Virus type 2 (AAV2) , Murine Parvo Virus (MVM),  and Bromo Mosaic Virus (BMV), by approximating changes in the partition function of the capsid assembly landscape when an interaction is removed.
Revised: We predict crucial inter-atomic interactions between monomers for the autonomous assembly of three icosahedral viral capsids , Adeno Associated Virus type 2 (AAV2) , Murine Parvo Virus (MVM), both T=1 single stranded DNA viruses, and Bromo Mosaic Virus (BMV), by approximating changes in the partition function of the capsid assembly landscape when an interaction is removed.
Edit intent: meaning-changed
Original: We predict crucial inter-atomic interactions between monomers for the autonomous assembly of three icosahedral viral capsids , Adeno Associated Virus type 2 (AAV2) , Murine Parvo Virus (MVM),  and Bromo Mosaic Virus (BMV), by approximating changes in the partition function of the capsid assembly landscape when an interaction is removed. At the interface-scale, the partition function computation usesatlases of selected subassembly landscapes for each interface type and their abbreviated\emph{bar-codes .
Revised: We predict crucial inter-atomic interactions between monomers for the autonomous assembly of three icosahedral viral capsids , Adeno Associated Virus type 2 (AAV2) , Murine Parvo Virus (MVM), and Bromo Mosaic Virus (BMV), a T=3 single stranded RNA virus. Experimental validation is by site-directed mutagenesis data and biophysical assays. We combine predictions at two scales: at the interface-scale, the partition function computation usesatlases of selected subassembly landscapes for each interface type and their abbreviated\emph{bar-codes .
Edit intent: meaning-changed
Original:  At the interface-scale, the partition function computation usesatlases of selected subassembly landscapes for each interface type and their abbreviated\emph{bar-codes . The first (direct) prediction of cruciality of an interaction for successful capsid assembly assumed the interface assembly is essential for capsid assembly.
Revised:  At the interface-scale, the partition function computation usesatlases of selected subassembly landscapes for each interface type and their abbreviated\emph{bar-codes we predict the cruciality of an interaction for successful subassembly across each interface between VP monomers; and at the capsid-scale, we predict the cruciality of an interaction for successful capsid assembly assumed the interface assembly is essential for capsid assembly.
Edit intent: meaning-changed
Original:  The interface-scale prediction was blind to the mutagenesis data used for validation. The atlases are generated by the geometric method and curated opensource software EASAL (efficient atlasing and search of assembly landscapes), whose input consists of (a) the monomer geometry - atom coordinates;
Revised:  The interface-scale , we measure cruciality by approximating changes in the capsid free-energy landscape partition function when an interaction is removed. The partition function computation uses atlases of interface subassembly landscapes, rapidly generated by a novel geometric method and curated opensource software EASAL (efficient atlasing and search of assembly landscapes), whose input consists of (a) the monomer geometry - atom coordinates;
Edit intent: meaning-changed
Original:  The atlases are generated by the geometric method and curated opensource software EASAL (efficient atlasing and search of assembly landscapes), whose input consists of (a) the monomer geometry - atom coordinates; and for each interface type, (b) pair potentials for a candidate set of interactions along with Van der Waals sterics, and (c) structure of selected, small subassemblies. The method comes with rigorous accuracy-efficiency trade-off estimates. A second two-scale measure of cruciality of interactions and residues for capsid assembly is obtained as follows. Combinatorial entropy is used to define the cruciality of an interface for successful assembly of the capsid.
Revised:  The atlases are generated by the geometric method and curated opensource software EASAL . At the capsid-scale, combinatorial entropy is used to define the cruciality of an interface for successful assembly of the capsid.
Edit intent: coherence
Original:  This is combined with the interface-scale prediction using statistical learning. The learning algorithm uses - for training - a fraction of the mutagenesis data, with the remainder of the data being used for validation .
Revised:  Our study goes all the way from resource-light, multiscale computational predictions of crucial hotspot inter-atomic interactions to experimental validation by biophysical assays of the effect of site-directed mutagenesis on capsid assembly .
Edit intent: clarity
Original:  By reliably and rapidly narrowing down target interactions, these in-silico predictions can inform and reduce the time spent on  time-consuming in-vitro and in-vivo experimentation .
Revised:  By reliably and rapidly narrowing down target interactions, these in-silico predictions can inform and reduce the time spent on more computationally intensive in-silico analyses, and time-consuming in-vitro and in-vivo experimentation .
Edit intent: meaning-changed
Original: Icosahedral viruses range in diameter from 10's to 100's of nanometers, their infectious genome encapsulated by a shell assembled by a poorly understood multiscale process, starting from an integer multiple (the T number) of 60 nearly identical viral capsid or coat protein (VP) monomers.
Revised: Icosahedral viruses have their infectious genome encapsulated by a shell assembled by a poorly understood multiscale process, starting from an integer multiple (the T number) of 60 nearly identical viral capsid or coat protein (VP) monomers.
Edit intent: clarity
Original: Icosahedral viruses range in diameter from 10's to 100's of nanometers, their infectious genome encapsulated by a shell assembled by a poorly understood multiscale process, starting from an integer multiple (the T number) of 60 nearly identical viral capsid or coat protein (VP) monomers.
Revised: Icosahedral viruses range in diameter from 10's to 100's of nanometers, their infectious genome encapsulated by a shell assembled by a multiscale process, starting from an integer multiple (the T number) of 60 nearly identical viral capsid or coat protein (VP) monomers.
Edit intent: clarity
Original: Icosahedral viruses range in diameter from 10's to 100's of nanometers, their infectious genome encapsulated by a shell assembled by a poorly understood multiscale process, starting from an integer multiple (the T number) of 60 nearly identical viral capsid or coat protein (VP) monomers.
Revised: Icosahedral viruses range in diameter from 10's to 100's of nanometers, their infectious genome encapsulated by a shell assembled by a poorly understood multiscale process, starting from an integer multiple of 60 nearly identical viral capsid or coat protein (VP) monomers.
Edit intent: clarity
Original: Icosahedral viruses range in diameter from 10's to 100's of nanometers, their infectious genome encapsulated by a shell assembled by a poorly understood multiscale process, starting from an integer multiple (the T number) of 60 nearly identical viral capsid or coat protein (VP) monomers.
Revised: Icosahedral viruses range in diameter from 10's to 100's of nanometers, their infectious genome encapsulated by a shell assembled by a poorly understood multiscale process, starting from an integer multiple (the T number) of 60 viral capsid or coat protein (VP) monomers.
Edit intent: clarity
Original:  We predict and experimentally validate inter-atomic hotspot interactions between VP monomers that are important for the assembly of 3 types of icosahedral viral capsids: Adeno Associated Virus serotype 2 (AAV2) and Minute Virus of Mice (MVM), both T=1 single stranded DNA viruses, and Bromo Mosaic Virus (BMV), a T=3 single stranded RNA virus.
Revised:  We predict and validate inter-atomic hotspot interactions between VP monomers that are important for the assembly of 3 types of icosahedral viral capsids: Adeno Associated Virus serotype 2 (AAV2) and Minute Virus of Mice (MVM), both T=1 single stranded DNA viruses, and Bromo Mosaic Virus (BMV), a T=3 single stranded RNA virus.
Edit intent: clarity
Original:  We predict and experimentally validate inter-atomic hotspot interactions between VP monomers that are important for the assembly of 3 types of icosahedral viral capsids: Adeno Associated Virus serotype 2 (AAV2) and Minute Virus of Mice (MVM), both T=1 single stranded DNA viruses, and Bromo Mosaic Virus (BMV), a T=3 single stranded RNA virus.
Revised:  We predict and experimentally validate inter-atomic hotspot interactions between VP monomers that are important for the assembly of 3 icosahedral viral capsids: Adeno Associated Virus serotype 2 (AAV2) and Minute Virus of Mice (MVM), both T=1 single stranded DNA viruses, and Bromo Mosaic Virus (BMV), a T=3 single stranded RNA virus.
Edit intent: clarity
Original:  The partition function computation uses atlases of interface subassembly landscapes, rapidly generated by a novel geometric method and curated opensource software EASAL  . At the capsid-scale, combinatorial entropy is used to define cruciality of an interface for successful assembly of the capsid  .
Revised:  The partition function computation uses atlases of interface subassembly landscapes, rapidly generated by a novel geometric method and curated opensource software EASAL (efficient atlasing and search of assembly landscapes) . At the capsid-scale, combinatorial entropy is used to define cruciality of an interface for successful assembly of the capsid .
Edit intent: meaning-changed
Original:  The partition function computation uses atlases of interface subassembly landscapes, rapidly generated by a novel geometric method and curated opensource software EASAL  . At the capsid-scale, combinatorial entropy is used to define cruciality of an interface for successful assembly of the capsid  .
Revised:  The partition function computation uses atlases of interface subassembly landscapes, rapidly generated by a novel geometric method and curated opensource software EASAL . At the capsid-scale, cruciality of an interface for successful assembly of the capsid .
Edit intent: coherence
Original:  The partition function computation uses atlases of interface subassembly landscapes, rapidly generated by a novel geometric method and curated opensource software EASAL  . At the capsid-scale, combinatorial entropy is used to define cruciality of an interface for successful assembly of the capsid  .
Revised:  The partition function computation uses atlases of interface subassembly landscapes, rapidly generated by a novel geometric method and curated opensource software EASAL . At the capsid-scale, combinatorial entropy is used to define cruciality of an interface for successful assembly of the capsid is based on combinatorial entropy .
Edit intent: coherence
Original:  Our study goes all the way from resource-light, multiscale computational predictions of crucial hotspot inter-atomic interactions to experimental validation by biophysical assays of the effect of site-directed mutagenesis  on capsid assembly.
Revised:  Our study goes from resource-light, multiscale computational predictions of crucial hotspot inter-atomic interactions to experimental validation by biophysical assays of the effect of site-directed mutagenesis on capsid assembly.
Edit intent: clarity
Original:  Our study goes all the way from resource-light, multiscale computational predictions of crucial hotspot inter-atomic interactions to experimental validation by biophysical assays of the effect of site-directed mutagenesis  on capsid assembly.
Revised:  Our study goes all the way from resource-light, multiscale computational predictions of crucial hotspot inter-atomic interactions to validation using data on site-directed mutagenesis on capsid assembly.
Edit intent: clarity
Original:  Our study goes all the way from resource-light, multiscale computational predictions of crucial hotspot inter-atomic interactions to experimental validation by biophysical assays of the effect of site-directed mutagenesis  on capsid assembly.
Revised:  Our study goes all the way from resource-light, multiscale computational predictions of crucial hotspot inter-atomic interactions to experimental validation by biophysical assays of the effect of site-directed mutagenesis ' effect on capsid assembly.
Edit intent: fluency
Original:  By reliably and rapidly narrowing down target interactions,  our predictions can inform and reduce the time spent on more computationally intensive in-silico analyses, and time-consuming in-vitro and in-vivo experiments  .
Revised:  By reliably and rapidly narrowing down target interactions, (no more than 1.5 hours per interface on a laptop with Intel Core i5-2500K 3.2Ghz CPU and 8GB of RAM) our predictions can inform and reduce the time spent on more computationally intensive in-silico analyses, and time-consuming in-vitro and in-vivo experiments .
Edit intent: meaning-changed
Original:  By reliably and rapidly narrowing down target interactions,  our predictions can inform and reduce the time spent on more computationally intensive in-silico analyses, and time-consuming in-vitro and in-vivo experiments  .
Revised:  By reliably and rapidly narrowing down target interactions, our predictions can inform and reduce the time spent on more computationally intensive in-silico analyses, and time-consuming in-vitro and in-vivo experiments , or more computationally intensive in-silico analyses .
Edit intent: meaning-changed
Original: We perform the linear growth analysis for a new PDE-based model for poromechanical processes  (formulated in mixed form using the solid deformation, fluid pressure, and total pressure) interacting with diffusing and reacting solutes  in the medium.
Revised: We perform the linear stability analysis for a new PDE-based model for poromechanical processes (formulated in mixed form using the solid deformation, fluid pressure, and total pressure) interacting with diffusing and reacting solutes in the medium.
Edit intent: meaning-changed
Original: We perform the linear growth analysis for a new PDE-based model for poromechanical processes  (formulated in mixed form using the solid deformation, fluid pressure, and total pressure) interacting with diffusing and reacting solutes  in the medium.
Revised: We perform the linear growth analysis for a new model for poromechanical processes (formulated in mixed form using the solid deformation, fluid pressure, and total pressure) interacting with diffusing and reacting solutes in the medium.
Edit intent: clarity
Original: We perform the linear growth analysis for a new PDE-based model for poromechanical processes  (formulated in mixed form using the solid deformation, fluid pressure, and total pressure) interacting with diffusing and reacting solutes  in the medium.
Revised: We perform the linear growth analysis for a new PDE-based model for poromechanical processes with inertia (formulated in mixed form using the solid deformation, fluid pressure, and total pressure) interacting with diffusing and reacting solutes in the medium.
Edit intent: meaning-changed
Original: We perform the linear growth analysis for a new PDE-based model for poromechanical processes  (formulated in mixed form using the solid deformation, fluid pressure, and total pressure) interacting with diffusing and reacting solutes  in the medium.
Revised: We perform the linear growth analysis for a new PDE-based model for poromechanical processes (formulated in mixed form using the solid deformation, fluid pressure, and total pressure) interacting with diffusing and reacting solutes convected in the medium.
Edit intent: clarity